Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director of Data Science, are you ready to lead the charge in transforming a major enterprise through the power of Generative AI, LLMs, and autonomous agent ecosystems? We are seeking a visionary Director of Data Science to architect and scale our next-generation AI capabilities. In this role, you will lead a high-performing team responsible for building reusable, horizontal AI platforms and solutions that drive enterprise-wide automation, innovation, and strategic differentiation. You possess the agility to navigate rapidly shifting AI paradigms, the architectural vision to design scalable systems from ideation to production-grade performance, and the leadership to bridge the gap between cutting-edge research and core business value. If you thrive at the intersection of AI strategy, technical execution, and organizational transformation, we want you to lead our future. What you will do: Acts as an enterprise AI thought leader and strategic advisor, shaping how the organization leverages generative AI, LLMs, and agentic workflows to drive competitive advantage and market differentiation. Influences business, data, and technology executives to invest in, scale, and future-proof enterprise-wide horizontal AI capabilities through active participation in strategy, planning, and budgeting. Directs and empowers a team of AI/Data Scientists and engineers to build and deploy scalable LLM applications, RAG pipelines, and autonomous agent systems in a fast-paced, agile environment. Architecturally guides the team from ideation to performant production solutions, optimizing the AI lifecycle from prompt engineering and context management to model evaluation and inference cost-efficiency. Champions the creation of modular, reusable horizontal AI capabilities and services that can be leveraged horizontally across disparate business units to solve complex challenges. Partners closely with Enterprise Architecture and IT to establish modern AI infrastructure, tooling pipelines, and scalable cloud/on-premise deployment standards. Ensures all AI models, agentic workflows, and generative solutions strictly adhere to emerging AI safety guidelines, model risk management (MRM) frameworks, data governance, and regulatory compliance. Identifies and secures strategic resource needs, ranging from next-gen LLM API integrations and specialized 3rd-party toolsets to specialized hardware and talent investments. Builds, inspires, and scales a world-class team of AI talent through intentional recruiting, technical mentorship, coaching, and performance management. Ensures risks associated with AI operations (e.g., hallucinations, data leakage, security vulnerabilities, and autonomous agent drift) are effectively identified, measured, monitored, and controlled. What you have: 8+ years of progressive experience in machine learning, advanced data science, and AI development-with a strong recent emphasis on deploying Generative AI, LLMs, or agentic systems to production-OR an Advanced Degree (Master's or PhD) in Computer Science, AI, Data Science, or a quantitative STEM field with 6+ years of relevant experience. 3+ years of direct people leadership experience, building, managing, and inspiring high-performing technical teams in rapidly evolving tech landscapes. Proven track record of architecting and delivering scalable, high-performance horizontal AI platforms or reusable capabilities that drive cross-enterprise transformation. Exceptional strategic agility and flexibility, with a demonstrated history of successfully pivoting technical strategies and teams in response to rapid paradigm shifts in the AI ecosystem. Deep technical background in modern AI frameworks and methodologies (e.g., LangChain, LlamaIndex, vector databases, fine-tuning, RAG architectures, prompt engineering patterns, and multi-agent orchestration). Comprehensive understanding of AI governance, risk mitigation (guardrails, prompt injection defense, alignment), model risk policies, and compliance expectations for automated and autonomous systems. Exceptional executive communication skills; a proven track record of translating complex AI architectures, ROI metrics, and technical roadmaps into compelling narratives for Senior Executive Management and non-technical stakeholders. Compensation range: The salary range for this position is: $189,370 - $361,950 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
10/25/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director of Data Science, are you ready to lead the charge in transforming a major enterprise through the power of Generative AI, LLMs, and autonomous agent ecosystems? We are seeking a visionary Director of Data Science to architect and scale our next-generation AI capabilities. In this role, you will lead a high-performing team responsible for building reusable, horizontal AI platforms and solutions that drive enterprise-wide automation, innovation, and strategic differentiation. You possess the agility to navigate rapidly shifting AI paradigms, the architectural vision to design scalable systems from ideation to production-grade performance, and the leadership to bridge the gap between cutting-edge research and core business value. If you thrive at the intersection of AI strategy, technical execution, and organizational transformation, we want you to lead our future. What you will do: Acts as an enterprise AI thought leader and strategic advisor, shaping how the organization leverages generative AI, LLMs, and agentic workflows to drive competitive advantage and market differentiation. Influences business, data, and technology executives to invest in, scale, and future-proof enterprise-wide horizontal AI capabilities through active participation in strategy, planning, and budgeting. Directs and empowers a team of AI/Data Scientists and engineers to build and deploy scalable LLM applications, RAG pipelines, and autonomous agent systems in a fast-paced, agile environment. Architecturally guides the team from ideation to performant production solutions, optimizing the AI lifecycle from prompt engineering and context management to model evaluation and inference cost-efficiency. Champions the creation of modular, reusable horizontal AI capabilities and services that can be leveraged horizontally across disparate business units to solve complex challenges. Partners closely with Enterprise Architecture and IT to establish modern AI infrastructure, tooling pipelines, and scalable cloud/on-premise deployment standards. Ensures all AI models, agentic workflows, and generative solutions strictly adhere to emerging AI safety guidelines, model risk management (MRM) frameworks, data governance, and regulatory compliance. Identifies and secures strategic resource needs, ranging from next-gen LLM API integrations and specialized 3rd-party toolsets to specialized hardware and talent investments. Builds, inspires, and scales a world-class team of AI talent through intentional recruiting, technical mentorship, coaching, and performance management. Ensures risks associated with AI operations (e.g., hallucinations, data leakage, security vulnerabilities, and autonomous agent drift) are effectively identified, measured, monitored, and controlled. What you have: 8+ years of progressive experience in machine learning, advanced data science, and AI development-with a strong recent emphasis on deploying Generative AI, LLMs, or agentic systems to production-OR an Advanced Degree (Master's or PhD) in Computer Science, AI, Data Science, or a quantitative STEM field with 6+ years of relevant experience. 3+ years of direct people leadership experience, building, managing, and inspiring high-performing technical teams in rapidly evolving tech landscapes. Proven track record of architecting and delivering scalable, high-performance horizontal AI platforms or reusable capabilities that drive cross-enterprise transformation. Exceptional strategic agility and flexibility, with a demonstrated history of successfully pivoting technical strategies and teams in response to rapid paradigm shifts in the AI ecosystem. Deep technical background in modern AI frameworks and methodologies (e.g., LangChain, LlamaIndex, vector databases, fine-tuning, RAG architectures, prompt engineering patterns, and multi-agent orchestration). Comprehensive understanding of AI governance, risk mitigation (guardrails, prompt injection defense, alignment), model risk policies, and compliance expectations for automated and autonomous systems. Exceptional executive communication skills; a proven track record of translating complex AI architectures, ROI metrics, and technical roadmaps into compelling narratives for Senior Executive Management and non-technical stakeholders. Compensation range: The salary range for this position is: $189,370 - $361,950 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director of Data Science, are you ready to lead the charge in transforming a major enterprise through the power of Generative AI, LLMs, and autonomous agent ecosystems? We are seeking a visionary Director of Data Science to architect and scale our next-generation AI capabilities. In this role, you will lead a high-performing team responsible for building reusable, horizontal AI platforms and solutions that drive enterprise-wide automation, innovation, and strategic differentiation. You possess the agility to navigate rapidly shifting AI paradigms, the architectural vision to design scalable systems from ideation to production-grade performance, and the leadership to bridge the gap between cutting-edge research and core business value. If you thrive at the intersection of AI strategy, technical execution, and organizational transformation, we want you to lead our future. What you will do: Acts as an enterprise AI thought leader and strategic advisor, shaping how the organization leverages generative AI, LLMs, and agentic workflows to drive competitive advantage and market differentiation. Influences business, data, and technology executives to invest in, scale, and future-proof enterprise-wide horizontal AI capabilities through active participation in strategy, planning, and budgeting. Directs and empowers a team of AI/Data Scientists and engineers to build and deploy scalable LLM applications, RAG pipelines, and autonomous agent systems in a fast-paced, agile environment. Architecturally guides the team from ideation to performant production solutions, optimizing the AI lifecycle from prompt engineering and context management to model evaluation and inference cost-efficiency. Champions the creation of modular, reusable horizontal AI capabilities and services that can be leveraged horizontally across disparate business units to solve complex challenges. Partners closely with Enterprise Architecture and IT to establish modern AI infrastructure, tooling pipelines, and scalable cloud/on-premise deployment standards. Ensures all AI models, agentic workflows, and generative solutions strictly adhere to emerging AI safety guidelines, model risk management (MRM) frameworks, data governance, and regulatory compliance. Identifies and secures strategic resource needs, ranging from next-gen LLM API integrations and specialized 3rd-party toolsets to specialized hardware and talent investments. Builds, inspires, and scales a world-class team of AI talent through intentional recruiting, technical mentorship, coaching, and performance management. Ensures risks associated with AI operations (e.g., hallucinations, data leakage, security vulnerabilities, and autonomous agent drift) are effectively identified, measured, monitored, and controlled. What you have: 8+ years of progressive experience in machine learning, advanced data science, and AI development-with a strong recent emphasis on deploying Generative AI, LLMs, or agentic systems to production-OR an Advanced Degree (Master's or PhD) in Computer Science, AI, Data Science, or a quantitative STEM field with 6+ years of relevant experience. 3+ years of direct people leadership experience, building, managing, and inspiring high-performing technical teams in rapidly evolving tech landscapes. Proven track record of architecting and delivering scalable, high-performance horizontal AI platforms or reusable capabilities that drive cross-enterprise transformation. Exceptional strategic agility and flexibility, with a demonstrated history of successfully pivoting technical strategies and teams in response to rapid paradigm shifts in the AI ecosystem. Deep technical background in modern AI frameworks and methodologies (e.g., LangChain, LlamaIndex, vector databases, fine-tuning, RAG architectures, prompt engineering patterns, and multi-agent orchestration). Comprehensive understanding of AI governance, risk mitigation (guardrails, prompt injection defense, alignment), model risk policies, and compliance expectations for automated and autonomous systems. Exceptional executive communication skills; a proven track record of translating complex AI architectures, ROI metrics, and technical roadmaps into compelling narratives for Senior Executive Management and non-technical stakeholders. Compensation range: The salary range for this position is: $189,370 - $361,950 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
10/25/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director of Data Science, are you ready to lead the charge in transforming a major enterprise through the power of Generative AI, LLMs, and autonomous agent ecosystems? We are seeking a visionary Director of Data Science to architect and scale our next-generation AI capabilities. In this role, you will lead a high-performing team responsible for building reusable, horizontal AI platforms and solutions that drive enterprise-wide automation, innovation, and strategic differentiation. You possess the agility to navigate rapidly shifting AI paradigms, the architectural vision to design scalable systems from ideation to production-grade performance, and the leadership to bridge the gap between cutting-edge research and core business value. If you thrive at the intersection of AI strategy, technical execution, and organizational transformation, we want you to lead our future. What you will do: Acts as an enterprise AI thought leader and strategic advisor, shaping how the organization leverages generative AI, LLMs, and agentic workflows to drive competitive advantage and market differentiation. Influences business, data, and technology executives to invest in, scale, and future-proof enterprise-wide horizontal AI capabilities through active participation in strategy, planning, and budgeting. Directs and empowers a team of AI/Data Scientists and engineers to build and deploy scalable LLM applications, RAG pipelines, and autonomous agent systems in a fast-paced, agile environment. Architecturally guides the team from ideation to performant production solutions, optimizing the AI lifecycle from prompt engineering and context management to model evaluation and inference cost-efficiency. Champions the creation of modular, reusable horizontal AI capabilities and services that can be leveraged horizontally across disparate business units to solve complex challenges. Partners closely with Enterprise Architecture and IT to establish modern AI infrastructure, tooling pipelines, and scalable cloud/on-premise deployment standards. Ensures all AI models, agentic workflows, and generative solutions strictly adhere to emerging AI safety guidelines, model risk management (MRM) frameworks, data governance, and regulatory compliance. Identifies and secures strategic resource needs, ranging from next-gen LLM API integrations and specialized 3rd-party toolsets to specialized hardware and talent investments. Builds, inspires, and scales a world-class team of AI talent through intentional recruiting, technical mentorship, coaching, and performance management. Ensures risks associated with AI operations (e.g., hallucinations, data leakage, security vulnerabilities, and autonomous agent drift) are effectively identified, measured, monitored, and controlled. What you have: 8+ years of progressive experience in machine learning, advanced data science, and AI development-with a strong recent emphasis on deploying Generative AI, LLMs, or agentic systems to production-OR an Advanced Degree (Master's or PhD) in Computer Science, AI, Data Science, or a quantitative STEM field with 6+ years of relevant experience. 3+ years of direct people leadership experience, building, managing, and inspiring high-performing technical teams in rapidly evolving tech landscapes. Proven track record of architecting and delivering scalable, high-performance horizontal AI platforms or reusable capabilities that drive cross-enterprise transformation. Exceptional strategic agility and flexibility, with a demonstrated history of successfully pivoting technical strategies and teams in response to rapid paradigm shifts in the AI ecosystem. Deep technical background in modern AI frameworks and methodologies (e.g., LangChain, LlamaIndex, vector databases, fine-tuning, RAG architectures, prompt engineering patterns, and multi-agent orchestration). Comprehensive understanding of AI governance, risk mitigation (guardrails, prompt injection defense, alignment), model risk policies, and compliance expectations for automated and autonomous systems. Exceptional executive communication skills; a proven track record of translating complex AI architectures, ROI metrics, and technical roadmaps into compelling narratives for Senior Executive Management and non-technical stakeholders. Compensation range: The salary range for this position is: $189,370 - $361,950 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Description Job Title: Cybersecurity Specialist Location: Hybrid - Phoenix, AZ Duration: 9 mos. Contract: w2(No c2c and No 1099) Job Overview American Express is seeking Senior Engineer-Generative AI Automation with proven strong technical competence and leadership capability to contribute towards the success of enterprise-wide Security initiatives. Senior Engineer-Generative AI Automation serves as a subject matter expert in Generative AI and agentic engineering, with hands-on experience building production-grade agents using platforms and coding agents such as Anthropic Claude/Claude Code and OpenAI Codex, automates integrations and plays an integral role in managing, monitoring & reporting on Generative AI, Agentic AI security risk reduction, design, build, and operationalize autonomous AI agents that drive secure, scalable, and intelligent automation across the enterprise and supports the security champion practice by evangelizing security principles and controls. Primary Responsibilities • Experience building automation tooling for security or developer efficiency • Proficiency in at least one scripting language (Python, JavaScript, or Bash) and familiarity with a compiled language (Go, Rust, or Java) • Experience with GitHub automation and API integrations. Conduct research on emerging threats, vulnerabilities, and technologies to stay updated on the evolving security landscape. • Develop and maintain security automation tooling to enhance visibility, enforce security best practices, and streamline processes. • Automate secure design reviews and integrate security checks into pull request workflows and CI/CD pipelines. • Design and develop agentic AI systems that autonomously plan, execute, and adapt tasks across complex workflows • Integrate agents with enterprise systems, APIs, data sources, and security platforms • Strong understanding, experience with OWASP Top10 and industry best practices within Generative AI security. • Knowledge of agent frameworks (e.g., LangGraph, AutoGen, CrewAI, custom orchestration) • Understanding of AI lifecycle management, including model integration, evaluation, and observability • Demonstrated senior-level experience designing, building, and productionizing autonomous and semi-autonomous AI agents, including planning, tool use, memory/context management, multi-agent orchestration, human-in-the-loop controls, and failure recovery. • Hands-on experience with leading AI coding and agent platforms such as Anthropic Claude/Claude Code and OpenAI Codex, including prompt/instruction design, tool integration, API/SDK usage, evaluation, guardrails, and enterprise adoption patterns. • Build Secure SDLC agents that embed security across the software lifecycle, including requirements and secure design review, threat modeling, code review, dependency and vulnerability analysis, remediation guidance, pull-request checks, and release/security gates. • Design agents that securely interact with source control, CI/CD, issue tracking, security scanners, cloud services, internal APIs, and developer tooling while enforcing least privilege, secrets protection, authorization boundaries, auditability, and approval workflows. • Experience creating reusable agent tools, skills, workflows, and orchestration patterns using frameworks such as LangGraph, AutoGen, CrewAI, custom orchestration, and tool-protocol patterns such as Model Context Protocol (MCP). • Establish agent quality and security evaluation practices covering task success, groundedness, code quality, secure coding, prompt-injection resistance, data leakage, unsafe tool use, permissions, reliability, latency, and cost. • Apply secure-by-design engineering to AI-assisted development, including sandboxing, policy enforcement, telemetry/observability, traceability, red-team testing, and controls for agent-generated code before merge or deployment. • Provide technical leadership and mentorship for agent architecture, AI-assisted engineering, secure coding, and production readiness; translate emerging agent capabilities into scalable enterprise engineering patterns. • Experience performing POC's regarding security tooling, zero-day vulnerabilities and emerging risks. • Familiarity with database architectures: Oracle, SQL and NoSQL Databases. Desired Skills • Information security professional certifications encouraged, such as SANS GIAC, CISSP, Generative AI certifications. • Experience mentoring application security and secure development practices to the team. • Master's Degree - Cyber Security, Data Science, Computer Science, or Software Engineering • Machine Learning Operation Professional Certifications. • Strong knowledge of Adversarial Robustness techniques and tools for machine learning. • Strong knowledge of AI Risk Management frameworks and Trustworthy AI practices. Minimum Qualifications • Bachelor's degree in Cybersecurity, Data science, Computer Science or Software Engineering. • 7 + years' experience with Automation and Development in CI/CD. • 7+ years of software engineering experience. • 5+ Years of Cybersecurity. • 2+ years of Generative AI experience. • Hands-on experience delivering agentic AI or AI coding-agent solutions into production, preferably within security, developer productivity, or Secure SDLC workflows. • Generative AI & Agentic Engineering: Hands-on experience building production-grade autonomous/semi-autonomous agents using platforms and frameworks like Anthropic Claude/Claude Code, OpenAI Codex, LangGraph, AutoGen, CrewAI, and Model Context Protocol (MCP), covering multi-agent orchestration, tool use, memory management, and prompt engineering. • Security Automation & Secure SDLC: Deep expertise in developing security automation tooling, integrating security checks into CI/CD pipelines and pull request workflows, designing secure-by-design AI architectures, and embedding security across the software lifecycle (threat modeling, secure code reviews, and vulnerability analysis). • Software Engineering & Scripting Proficiency: Strong foundational background in software development with proficiency in at least one scripting language (Python, JavaScript, or Bash), familiarity with compiled languages (Go, Rust, or Java), and experience with GitHub automation, API integrations, and database architectures.
10/25/2026
Full time
Job Description Job Title: Cybersecurity Specialist Location: Hybrid - Phoenix, AZ Duration: 9 mos. Contract: w2(No c2c and No 1099) Job Overview American Express is seeking Senior Engineer-Generative AI Automation with proven strong technical competence and leadership capability to contribute towards the success of enterprise-wide Security initiatives. Senior Engineer-Generative AI Automation serves as a subject matter expert in Generative AI and agentic engineering, with hands-on experience building production-grade agents using platforms and coding agents such as Anthropic Claude/Claude Code and OpenAI Codex, automates integrations and plays an integral role in managing, monitoring & reporting on Generative AI, Agentic AI security risk reduction, design, build, and operationalize autonomous AI agents that drive secure, scalable, and intelligent automation across the enterprise and supports the security champion practice by evangelizing security principles and controls. Primary Responsibilities • Experience building automation tooling for security or developer efficiency • Proficiency in at least one scripting language (Python, JavaScript, or Bash) and familiarity with a compiled language (Go, Rust, or Java) • Experience with GitHub automation and API integrations. Conduct research on emerging threats, vulnerabilities, and technologies to stay updated on the evolving security landscape. • Develop and maintain security automation tooling to enhance visibility, enforce security best practices, and streamline processes. • Automate secure design reviews and integrate security checks into pull request workflows and CI/CD pipelines. • Design and develop agentic AI systems that autonomously plan, execute, and adapt tasks across complex workflows • Integrate agents with enterprise systems, APIs, data sources, and security platforms • Strong understanding, experience with OWASP Top10 and industry best practices within Generative AI security. • Knowledge of agent frameworks (e.g., LangGraph, AutoGen, CrewAI, custom orchestration) • Understanding of AI lifecycle management, including model integration, evaluation, and observability • Demonstrated senior-level experience designing, building, and productionizing autonomous and semi-autonomous AI agents, including planning, tool use, memory/context management, multi-agent orchestration, human-in-the-loop controls, and failure recovery. • Hands-on experience with leading AI coding and agent platforms such as Anthropic Claude/Claude Code and OpenAI Codex, including prompt/instruction design, tool integration, API/SDK usage, evaluation, guardrails, and enterprise adoption patterns. • Build Secure SDLC agents that embed security across the software lifecycle, including requirements and secure design review, threat modeling, code review, dependency and vulnerability analysis, remediation guidance, pull-request checks, and release/security gates. • Design agents that securely interact with source control, CI/CD, issue tracking, security scanners, cloud services, internal APIs, and developer tooling while enforcing least privilege, secrets protection, authorization boundaries, auditability, and approval workflows. • Experience creating reusable agent tools, skills, workflows, and orchestration patterns using frameworks such as LangGraph, AutoGen, CrewAI, custom orchestration, and tool-protocol patterns such as Model Context Protocol (MCP). • Establish agent quality and security evaluation practices covering task success, groundedness, code quality, secure coding, prompt-injection resistance, data leakage, unsafe tool use, permissions, reliability, latency, and cost. • Apply secure-by-design engineering to AI-assisted development, including sandboxing, policy enforcement, telemetry/observability, traceability, red-team testing, and controls for agent-generated code before merge or deployment. • Provide technical leadership and mentorship for agent architecture, AI-assisted engineering, secure coding, and production readiness; translate emerging agent capabilities into scalable enterprise engineering patterns. • Experience performing POC's regarding security tooling, zero-day vulnerabilities and emerging risks. • Familiarity with database architectures: Oracle, SQL and NoSQL Databases. Desired Skills • Information security professional certifications encouraged, such as SANS GIAC, CISSP, Generative AI certifications. • Experience mentoring application security and secure development practices to the team. • Master's Degree - Cyber Security, Data Science, Computer Science, or Software Engineering • Machine Learning Operation Professional Certifications. • Strong knowledge of Adversarial Robustness techniques and tools for machine learning. • Strong knowledge of AI Risk Management frameworks and Trustworthy AI practices. Minimum Qualifications • Bachelor's degree in Cybersecurity, Data science, Computer Science or Software Engineering. • 7 + years' experience with Automation and Development in CI/CD. • 7+ years of software engineering experience. • 5+ Years of Cybersecurity. • 2+ years of Generative AI experience. • Hands-on experience delivering agentic AI or AI coding-agent solutions into production, preferably within security, developer productivity, or Secure SDLC workflows. • Generative AI & Agentic Engineering: Hands-on experience building production-grade autonomous/semi-autonomous agents using platforms and frameworks like Anthropic Claude/Claude Code, OpenAI Codex, LangGraph, AutoGen, CrewAI, and Model Context Protocol (MCP), covering multi-agent orchestration, tool use, memory management, and prompt engineering. • Security Automation & Secure SDLC: Deep expertise in developing security automation tooling, integrating security checks into CI/CD pipelines and pull request workflows, designing secure-by-design AI architectures, and embedding security across the software lifecycle (threat modeling, secure code reviews, and vulnerability analysis). • Software Engineering & Scripting Proficiency: Strong foundational background in software development with proficiency in at least one scripting language (Python, JavaScript, or Bash), familiarity with compiled languages (Go, Rust, or Java), and experience with GitHub automation, API integrations, and database architectures.
Job Description Immediate need for a talented Senior Engineer. This is a 06+months contract opportunity with long-term potential and is located in Phoenix, AZ(Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 26-32991 Pay Range: $48/hr - $50/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Design and develop agentic AI systems that autonomously plan, execute, and adapt tasks across complex workflows. Build automation tooling for security or developer efficiency, integrating security checks into CI/CD pipelines and pull request workflows. Conduct research on emerging threats, vulnerabilities, and technologies to stay updated on the evolving security landscape. Develop and maintain security automation tooling to enhance visibility and enforce security best practices. Automate secure design reviews and integrate security checks into development processes. Provide technical leadership and mentorship for agent architecture, AI-assisted engineering, and secure coding practices. Establish agent quality and security evaluation practices covering task success, code quality, and secure coding. Collaborate with enterprise systems, APIs, data sources, and security platforms to ensure seamless integration. Key Requirements and Technology Experience: 10+ years in software development and CI/CD automation. 5+ years in Cybersecurity. 2+ years in Generative AI. Bachelor's degree in Cybersecurity, Data Science, Computer Science, or Software Engineering. Hands-on experience with platforms like Anthropic Claude/Claude Code and OpenAI Codex. Proficiency in at least one scripting language (Python, JavaScript, or Bash) and familiarity with a compiled language (Go, Rust, or Java). Strong understanding of OWASP Top 10 and industry best practices within Generative AI security. Experience with GitHub automation and API integrations. Knowledge of agent frameworks (e.g., Lang Graph, AutoGen, CrewAI) and AI lifecycle management. Information security professional certifications (e.g., SANS GIAC, CISSP). Master's Degree in Cybersecurity, Data Science, Computer Science, or Software Engineering. Machine Learning Operation Professional Certifications. Strong knowledge of Adversarial Robustness techniques and AI Risk Management frameworks. Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.
10/25/2026
Full time
Job Description Immediate need for a talented Senior Engineer. This is a 06+months contract opportunity with long-term potential and is located in Phoenix, AZ(Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 26-32991 Pay Range: $48/hr - $50/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Design and develop agentic AI systems that autonomously plan, execute, and adapt tasks across complex workflows. Build automation tooling for security or developer efficiency, integrating security checks into CI/CD pipelines and pull request workflows. Conduct research on emerging threats, vulnerabilities, and technologies to stay updated on the evolving security landscape. Develop and maintain security automation tooling to enhance visibility and enforce security best practices. Automate secure design reviews and integrate security checks into development processes. Provide technical leadership and mentorship for agent architecture, AI-assisted engineering, and secure coding practices. Establish agent quality and security evaluation practices covering task success, code quality, and secure coding. Collaborate with enterprise systems, APIs, data sources, and security platforms to ensure seamless integration. Key Requirements and Technology Experience: 10+ years in software development and CI/CD automation. 5+ years in Cybersecurity. 2+ years in Generative AI. Bachelor's degree in Cybersecurity, Data Science, Computer Science, or Software Engineering. Hands-on experience with platforms like Anthropic Claude/Claude Code and OpenAI Codex. Proficiency in at least one scripting language (Python, JavaScript, or Bash) and familiarity with a compiled language (Go, Rust, or Java). Strong understanding of OWASP Top 10 and industry best practices within Generative AI security. Experience with GitHub automation and API integrations. Knowledge of agent frameworks (e.g., Lang Graph, AutoGen, CrewAI) and AI lifecycle management. Information security professional certifications (e.g., SANS GIAC, CISSP). Master's Degree in Cybersecurity, Data Science, Computer Science, or Software Engineering. Machine Learning Operation Professional Certifications. Strong knowledge of Adversarial Robustness techniques and AI Risk Management frameworks. Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.
Job Description About Raise Loyalty Raise is building an AI-native loyalty platform that helps brands acquire customers, increase repeat purchases and bring inactive customers back. AI helps teams plan campaigns, recommend offers and measure results, with people setting budgets and approving campaigns. We're building and testing the product within Raise, drawing on our established commerce, payments and gift card business. You'll join a small, hands-on team with direct access to the CTO and product leadership. The role Own both the conversational AI workflows and the decision models behind measurable loyalty campaigns. You'll turn business goals into campaign recommendations and develop models that help determine which customers to reach, what to offer and when. This role combines production LLM engineering, applied machine learning, causal inference and experimentation. Your work will directly shape the product and how we evaluate its impact. What you'll do Build conversational AI workflows that help users define goals, provide missing information and review campaign recommendations. Develop and evaluate models for customer behavior, targeting and offer recommendations. Help design experiments that distinguish likely customer behavior from the incremental effect of an offer. Define data requirements and success measures with engineering, product and finance. Build evaluations and monitoring for accuracy, reliability, cost and measurable business outcomes. Work with data and backend engineers to bring AI capabilities into production with appropriate permissions, privacy controls and human approval. Choose practical methods for the available data and improve them as evidence accumulates. What you bring Experience shipping and operating customer-facing software, typically four or more years, including an LLM application beyond a prototype. Practical experience developing, evaluating and deploying predictive or decision models. Experience with LLM APIs, structured outputs, tool calling and retrieval, supported by strong backend and API integration skills. Applied knowledge of experimental design, randomized tests and treatment-effect estimation or uplift modeling. An understanding of data leakage, uncertainty, model limitations and production monitoring. The ability to work independently, explain technical trade-offs and turn an ambiguous problem into a useful product. A PhD in machine learning or a related quantitative field is preferred. Strong shipped LLM product experience can outweigh the degree preference; demonstrated applied ML capability and production delivery are essential. Experience in commerce, recommendations, loyalty or lifecycle marketing is helpful. How we work You'll work directly with the CTO and collaborate closely with product, data and backend engineering. This is a hands-on individual contributor role with ownership of AI workflows, decision models and their evaluation. We're open to full-time employment or a contract engagement. Apply Share your résumé and examples of AI or ML products you've shipped. Tell us what you owned, how you evaluated the results and what you learned.
10/25/2026
Full time
Job Description About Raise Loyalty Raise is building an AI-native loyalty platform that helps brands acquire customers, increase repeat purchases and bring inactive customers back. AI helps teams plan campaigns, recommend offers and measure results, with people setting budgets and approving campaigns. We're building and testing the product within Raise, drawing on our established commerce, payments and gift card business. You'll join a small, hands-on team with direct access to the CTO and product leadership. The role Own both the conversational AI workflows and the decision models behind measurable loyalty campaigns. You'll turn business goals into campaign recommendations and develop models that help determine which customers to reach, what to offer and when. This role combines production LLM engineering, applied machine learning, causal inference and experimentation. Your work will directly shape the product and how we evaluate its impact. What you'll do Build conversational AI workflows that help users define goals, provide missing information and review campaign recommendations. Develop and evaluate models for customer behavior, targeting and offer recommendations. Help design experiments that distinguish likely customer behavior from the incremental effect of an offer. Define data requirements and success measures with engineering, product and finance. Build evaluations and monitoring for accuracy, reliability, cost and measurable business outcomes. Work with data and backend engineers to bring AI capabilities into production with appropriate permissions, privacy controls and human approval. Choose practical methods for the available data and improve them as evidence accumulates. What you bring Experience shipping and operating customer-facing software, typically four or more years, including an LLM application beyond a prototype. Practical experience developing, evaluating and deploying predictive or decision models. Experience with LLM APIs, structured outputs, tool calling and retrieval, supported by strong backend and API integration skills. Applied knowledge of experimental design, randomized tests and treatment-effect estimation or uplift modeling. An understanding of data leakage, uncertainty, model limitations and production monitoring. The ability to work independently, explain technical trade-offs and turn an ambiguous problem into a useful product. A PhD in machine learning or a related quantitative field is preferred. Strong shipped LLM product experience can outweigh the degree preference; demonstrated applied ML capability and production delivery are essential. Experience in commerce, recommendations, loyalty or lifecycle marketing is helpful. How we work You'll work directly with the CTO and collaborate closely with product, data and backend engineering. This is a hands-on individual contributor role with ownership of AI workflows, decision models and their evaluation. We're open to full-time employment or a contract engagement. Apply Share your résumé and examples of AI or ML products you've shipped. Tell us what you owned, how you evaluated the results and what you learned.
Job Description Senior Data Scientist Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner. Please visit Fractal Intelligence for Imagination for more information about Fractal Location: New York City, NY (On-site) Note: This position is not eligible for Immigration Sponsorship at this time. Position Overview: We are seeking a highly motivated and analytical Senior Data Scientist with 4-6 years of experience in Machine Learning, Statistical Modeling, Predictive Analytics, and Data Science solutions. The ideal candidate will leverage advanced analytical techniques to extract insights from large and complex datasets, develop predictive models, and help drive data-driven decision-making across business functions. The role requires strong expertise in Python, SQL, machine learning algorithms, time-series forecasting, anomaly detection, and data storytelling. The candidate will work closely with business stakeholders, data engineers, product owners, and technology teams to solve critical operational and strategic challenges using data science methodologies. Experience with cloud and modern data platforms such as Databricks, Snowflake, Microsoft Fabric, and exposure to the C3 AI Platform will be highly preferred. Key Responsibilities: Data Science & Analytics Develop, implement, and maintain machine learning models for classification, regression, clustering, recommendation systems, and predictive analytics. Design and execute advanced statistical analyses to identify business trends, risks, and opportunities. Perform exploratory data analysis (EDA) to uncover patterns and generate actionable insights from structured and unstructured datasets. Build forecasting models using time-series techniques for business planning, demand forecasting, asset performance prediction, and operational optimization. Develop anomaly detection models to identify unusual patterns, operational failures, fraud indicators, or equipment performance issues. Conduct root-cause analysis and hypothesis testing to support business decision-making. Machine Learning Model Development Design and implement end-to-end machine learning pipelines from data ingestion to deployment. Perform feature engineering, feature selection, and data transformation to improve model performance. Evaluate models using appropriate validation techniques, performance metrics, and cross-validation methodologies. Optimize machine learning algorithms for scalability, accuracy, and interpretability. Monitor model performance and implement retraining strategies to ensure sustained effectiveness. Data Management & Engineering Collaboration Partner with data engineering teams to build scalable data pipelines and analytical data models. Work with large datasets using SQL, distributed computing frameworks, and cloud-based analytics platforms. Ensure data quality, consistency, and governance standards are maintained throughout the analytics lifecycle. Business Engagement & Communication Engage with business stakeholders to understand requirements, translate business problems into analytical solutions, and define success metrics. Present analytical findings, model results, and recommendations to both technical and non-technical audiences. Translate complex data science concepts into business-friendly insights and actionable recommendations. Support strategic initiatives by providing data-driven forecasting and scenario analysis. Visualization & Reporting Develop interactive dashboards and visualizations using Power BI, Tableau, or equivalent tools. Communicate model outcomes and business insights through compelling visual storytelling and executive presentations. Qualifications: MS or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field. 5+ years of applied machine learning, data science, or AI experience in a professional setting. Demonstrated experience owning projects or major workstreams from initial problem definition through delivery. Excellent programming skills in Python to include strong overall OOP experience. Strong proficiency with machine learning and data science tools such as Scikit-learn, PyTorch, TensorFlow, pandas, NumPy, XGBoost, or similar frameworks. Broad knowledge of machine learning and AI methods, including when to apply different approaches and what tradeoffs to consider. Project experience in several of the following areas: supervised learning, unsupervised learning, time series forecasting, deep learning, operations research, optimization, anomaly detection, or Generative AI. Familiarity with the machine learning lifecycle, including experimentation, versioning, deployment, monitoring, governance, and retraining. Experience with production-oriented ML tools or workflow platforms such as MLflow, Airflow, Kubeflow, Databricks, or similar. Familiarity with scalable data and AI technologies such as Spark, distributed processing, streaming systems, or cloud-based ML services. Prior exposure to AWS, Azure, or Google Cloud, especially AI/ML services, is advantageous. Ability to lead independently while collaborating effectively with client, product, engineering, and delivery teams. Strong communication skills, including the ability to explain complex analytical work clearly to business stakeholders. High ownership mindset, strong judgment, practical problem-solving ability, and a desire to create measurable business impact. Preferred Qualifications: Hands-on experience with the C3 AI platform . Experience working in an embedded client environment, partner delivery model, enterprise SaaS implementation, or AI platform delivery role. Experience delivering AI solutions for large enterprises or Fortune 500 clients. Domain experience in manufacturing, energy, utilities, supply chain, aerospace, telecommunications, financial services, or other operationally complex industries. Experience with demand forecasting, asset reliability planning, predictive maintenance, inventory optimization, or supply chain optimization. Experience mentoring junior team members or leading small technical teams. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $165,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
10/25/2026
Full time
Job Description Senior Data Scientist Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner. Please visit Fractal Intelligence for Imagination for more information about Fractal Location: New York City, NY (On-site) Note: This position is not eligible for Immigration Sponsorship at this time. Position Overview: We are seeking a highly motivated and analytical Senior Data Scientist with 4-6 years of experience in Machine Learning, Statistical Modeling, Predictive Analytics, and Data Science solutions. The ideal candidate will leverage advanced analytical techniques to extract insights from large and complex datasets, develop predictive models, and help drive data-driven decision-making across business functions. The role requires strong expertise in Python, SQL, machine learning algorithms, time-series forecasting, anomaly detection, and data storytelling. The candidate will work closely with business stakeholders, data engineers, product owners, and technology teams to solve critical operational and strategic challenges using data science methodologies. Experience with cloud and modern data platforms such as Databricks, Snowflake, Microsoft Fabric, and exposure to the C3 AI Platform will be highly preferred. Key Responsibilities: Data Science & Analytics Develop, implement, and maintain machine learning models for classification, regression, clustering, recommendation systems, and predictive analytics. Design and execute advanced statistical analyses to identify business trends, risks, and opportunities. Perform exploratory data analysis (EDA) to uncover patterns and generate actionable insights from structured and unstructured datasets. Build forecasting models using time-series techniques for business planning, demand forecasting, asset performance prediction, and operational optimization. Develop anomaly detection models to identify unusual patterns, operational failures, fraud indicators, or equipment performance issues. Conduct root-cause analysis and hypothesis testing to support business decision-making. Machine Learning Model Development Design and implement end-to-end machine learning pipelines from data ingestion to deployment. Perform feature engineering, feature selection, and data transformation to improve model performance. Evaluate models using appropriate validation techniques, performance metrics, and cross-validation methodologies. Optimize machine learning algorithms for scalability, accuracy, and interpretability. Monitor model performance and implement retraining strategies to ensure sustained effectiveness. Data Management & Engineering Collaboration Partner with data engineering teams to build scalable data pipelines and analytical data models. Work with large datasets using SQL, distributed computing frameworks, and cloud-based analytics platforms. Ensure data quality, consistency, and governance standards are maintained throughout the analytics lifecycle. Business Engagement & Communication Engage with business stakeholders to understand requirements, translate business problems into analytical solutions, and define success metrics. Present analytical findings, model results, and recommendations to both technical and non-technical audiences. Translate complex data science concepts into business-friendly insights and actionable recommendations. Support strategic initiatives by providing data-driven forecasting and scenario analysis. Visualization & Reporting Develop interactive dashboards and visualizations using Power BI, Tableau, or equivalent tools. Communicate model outcomes and business insights through compelling visual storytelling and executive presentations. Qualifications: MS or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field. 5+ years of applied machine learning, data science, or AI experience in a professional setting. Demonstrated experience owning projects or major workstreams from initial problem definition through delivery. Excellent programming skills in Python to include strong overall OOP experience. Strong proficiency with machine learning and data science tools such as Scikit-learn, PyTorch, TensorFlow, pandas, NumPy, XGBoost, or similar frameworks. Broad knowledge of machine learning and AI methods, including when to apply different approaches and what tradeoffs to consider. Project experience in several of the following areas: supervised learning, unsupervised learning, time series forecasting, deep learning, operations research, optimization, anomaly detection, or Generative AI. Familiarity with the machine learning lifecycle, including experimentation, versioning, deployment, monitoring, governance, and retraining. Experience with production-oriented ML tools or workflow platforms such as MLflow, Airflow, Kubeflow, Databricks, or similar. Familiarity with scalable data and AI technologies such as Spark, distributed processing, streaming systems, or cloud-based ML services. Prior exposure to AWS, Azure, or Google Cloud, especially AI/ML services, is advantageous. Ability to lead independently while collaborating effectively with client, product, engineering, and delivery teams. Strong communication skills, including the ability to explain complex analytical work clearly to business stakeholders. High ownership mindset, strong judgment, practical problem-solving ability, and a desire to create measurable business impact. Preferred Qualifications: Hands-on experience with the C3 AI platform . Experience working in an embedded client environment, partner delivery model, enterprise SaaS implementation, or AI platform delivery role. Experience delivering AI solutions for large enterprises or Fortune 500 clients. Domain experience in manufacturing, energy, utilities, supply chain, aerospace, telecommunications, financial services, or other operationally complex industries. Experience with demand forecasting, asset reliability planning, predictive maintenance, inventory optimization, or supply chain optimization. Experience mentoring junior team members or leading small technical teams. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $165,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Job Description Date Posted: 2026-08-17 Country: United States of America Location: US-MA-TEWKSBURY-TB1 50 Apple Hill Dr ASSABET BLDG Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Raytheon's Receiver/Exciter & Processing Architecture (REPA) Department is the focal point for receiver, exciter, beam steering, and signal processing technology within the company. Our department is responsible for the design, development, integration, and lifecycle support of Raytheon's radar product portfolio. We are seeking a Senior Hardware Integration, Analysis & Test Engineer excited about the opportunity to sit at the intersection of radar hardware, firmware, software, and signal processing and make it all work together. Join a growing Integration & Test Suite (ITS) team whose common toolset currently supports more than six active radar programs across S-, C-, X-, and UHF-Band systems. If you're someone who gets more satisfaction from building a tool that eliminates a problem forever than from fixing the same issue over and over, this opportunity is for you. What You Will Do Write, use, and maintain software that controls, tests, and characterizes real radar hardware - from module level all the way to system integration. Dig into RF and IQ data to find the root cause of hard problems - the kind where the answer isn't obvious and the stakes are real. Perform Receiver/Exciter hardware, software, and firmware design verification tests across multiple radar bands and programs and figure out what the data is telling you. Build data analysis tools that give engineers and technicians answers faster - and eventually, building Artificial Intelligence/Machine Learning tools do some of the heavy lifting. Work directly with hardware designers, firmware developers, software and systems engineers - you'll need to speak all four languages. Hands on hardware test and troubleshooting. Own your work: if you build it, you'll support it, improve it, and teach others how to use it. Operate across multiple Raytheon sites and interface directly with program engineering, production, and systems teams. This 1st shift role will be 100% on-site and based in Tewksbury, MA, with significant travel expected to Marlborough, MA. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years' of prior relevant experience. 3+ years' experience in two or more of the following areas: Radar system or subsystem integration, verification, and validation Programming in MATLAB or C/C++ Microwave/RF system, subsystem, and/or Circuit Card Assembly design or test The ability to obtain and maintain an Interim Secret U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Experience with IQ and signal processing analysis in MATLAB, C/C++, Python, or equivalent. Experience with Linux and Git. Experience with Radar Receiver/Exciter design and/or design verification testing. Familiarity with radar system troubleshooting, root cause identification, and corrective action documentation. Technical background in high-speed data converter test/characterization, radar system calibration, digital signal processing, cascade analysis, or frequency planning. Exposure to AI/ML models or statistical process control concepts. Self-starter capable of working independently and as part of a small, collaborative technical team. Active / Existing Secret U.S. Security Clearance. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. This position offers relocation based on candidate eligibility. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
10/25/2026
Full time
Job Description Date Posted: 2026-08-17 Country: United States of America Location: US-MA-TEWKSBURY-TB1 50 Apple Hill Dr ASSABET BLDG Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Raytheon's Receiver/Exciter & Processing Architecture (REPA) Department is the focal point for receiver, exciter, beam steering, and signal processing technology within the company. Our department is responsible for the design, development, integration, and lifecycle support of Raytheon's radar product portfolio. We are seeking a Senior Hardware Integration, Analysis & Test Engineer excited about the opportunity to sit at the intersection of radar hardware, firmware, software, and signal processing and make it all work together. Join a growing Integration & Test Suite (ITS) team whose common toolset currently supports more than six active radar programs across S-, C-, X-, and UHF-Band systems. If you're someone who gets more satisfaction from building a tool that eliminates a problem forever than from fixing the same issue over and over, this opportunity is for you. What You Will Do Write, use, and maintain software that controls, tests, and characterizes real radar hardware - from module level all the way to system integration. Dig into RF and IQ data to find the root cause of hard problems - the kind where the answer isn't obvious and the stakes are real. Perform Receiver/Exciter hardware, software, and firmware design verification tests across multiple radar bands and programs and figure out what the data is telling you. Build data analysis tools that give engineers and technicians answers faster - and eventually, building Artificial Intelligence/Machine Learning tools do some of the heavy lifting. Work directly with hardware designers, firmware developers, software and systems engineers - you'll need to speak all four languages. Hands on hardware test and troubleshooting. Own your work: if you build it, you'll support it, improve it, and teach others how to use it. Operate across multiple Raytheon sites and interface directly with program engineering, production, and systems teams. This 1st shift role will be 100% on-site and based in Tewksbury, MA, with significant travel expected to Marlborough, MA. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years' of prior relevant experience. 3+ years' experience in two or more of the following areas: Radar system or subsystem integration, verification, and validation Programming in MATLAB or C/C++ Microwave/RF system, subsystem, and/or Circuit Card Assembly design or test The ability to obtain and maintain an Interim Secret U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Experience with IQ and signal processing analysis in MATLAB, C/C++, Python, or equivalent. Experience with Linux and Git. Experience with Radar Receiver/Exciter design and/or design verification testing. Familiarity with radar system troubleshooting, root cause identification, and corrective action documentation. Technical background in high-speed data converter test/characterization, radar system calibration, digital signal processing, cascade analysis, or frequency planning. Exposure to AI/ML models or statistical process control concepts. Self-starter capable of working independently and as part of a small, collaborative technical team. Active / Existing Secret U.S. Security Clearance. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. This position offers relocation based on candidate eligibility. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description About Quantiphi: Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. Our industry recognition includes: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. Top analyst recognitions from Gartner, ISG, and Everest Group. Consecutive certifications as a Great Place to Work. Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page. Work Location: Dallas, Texas or USA - Remote Experience Level: 6+ years Type: Full time Role: We are seeking an experienced Senior Data Engineer with deep expertise in Asset-Based Finance (ABF) and mortgage servicing to lead the architecture, transformation, and modernization of our investment and portfolio analytics requirements. In this role, you will design and maintain robust, cloud-native data pipelines in Snowflake , drive legacy-to-modern data platform migrations, and ensure financial data integrity across all reporting systems. Beyond core data engineering, you will play a hands-on role in end-to-end delivery-translating business requirements into Agile execution, managing project timelines, and driving technical operational readiness. Responsibilities: Design, build, and maintain cloud-native data pipelines and data lake architectures in Snowflake to support ABF investment and portfolio analytics. Develop and manage scalable, automated ETL/ELT workflows to efficiently ingest, transform, and curate data from diverse structured and unstructured sources. Support the end-to-end migration from legacy systems to a modern data platform, including complex data mapping, transformation logic development, and architecture alignment. Support advanced analytics and reporting use cases by implementing data cleaning, de-duplication, reconciliation, validation, and strict financial data integrity checks. Break down high-level business requirements into actionable Epics and User Stories within Jira. Support project planning, timeline estimation, risk mitigation, and cross-functional team coordination. Assist with integration testing, cutover planning, and go-live readiness to ensure smooth deployment. Partner closely with business, finance, and operations teams to align stakeholders and ensure seamless operational adoption of the new platform. Skills Required: 5+ years of expert-level SQL experience (writing complex queries, CTEs, advanced window functions, conditional logic, complex joins, and performance optimization). 5+ years of professional Python development experience processing complex datasets efficiently and automating workflows using Pandas, Polars , or equivalent data libraries. Hands-on experience designing and optimizing cloud-native data warehouses/datalakes, specifically Snowflake . Modern Data Pipelines: Proven experience building, maintaining, and optimizing scalable ETL/ELT workflows and data pipelines. Specialized experience in Asset-Based Finance (ABF) and mortgage servicing (e.g., settlements, remittances, cash consolidation, and servicing workflows). Demonstrated success managing full lifecycle project delivery, driving requirements from design and build to testing and deployment. Exceptional communication and change management skills, with a track record of bridging the gap between technical teams and business leadership. What is in it for you: Be part of the fastest-growing AI-first digital transformation and engineering company in the world Be a part of an energetic team of highly dynamic and talented individuals Exposure to working with fortune 500 companies and innovative market disruptors Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
10/25/2026
Full time
Job Description About Quantiphi: Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. Our industry recognition includes: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. Top analyst recognitions from Gartner, ISG, and Everest Group. Consecutive certifications as a Great Place to Work. Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page. Work Location: Dallas, Texas or USA - Remote Experience Level: 6+ years Type: Full time Role: We are seeking an experienced Senior Data Engineer with deep expertise in Asset-Based Finance (ABF) and mortgage servicing to lead the architecture, transformation, and modernization of our investment and portfolio analytics requirements. In this role, you will design and maintain robust, cloud-native data pipelines in Snowflake , drive legacy-to-modern data platform migrations, and ensure financial data integrity across all reporting systems. Beyond core data engineering, you will play a hands-on role in end-to-end delivery-translating business requirements into Agile execution, managing project timelines, and driving technical operational readiness. Responsibilities: Design, build, and maintain cloud-native data pipelines and data lake architectures in Snowflake to support ABF investment and portfolio analytics. Develop and manage scalable, automated ETL/ELT workflows to efficiently ingest, transform, and curate data from diverse structured and unstructured sources. Support the end-to-end migration from legacy systems to a modern data platform, including complex data mapping, transformation logic development, and architecture alignment. Support advanced analytics and reporting use cases by implementing data cleaning, de-duplication, reconciliation, validation, and strict financial data integrity checks. Break down high-level business requirements into actionable Epics and User Stories within Jira. Support project planning, timeline estimation, risk mitigation, and cross-functional team coordination. Assist with integration testing, cutover planning, and go-live readiness to ensure smooth deployment. Partner closely with business, finance, and operations teams to align stakeholders and ensure seamless operational adoption of the new platform. Skills Required: 5+ years of expert-level SQL experience (writing complex queries, CTEs, advanced window functions, conditional logic, complex joins, and performance optimization). 5+ years of professional Python development experience processing complex datasets efficiently and automating workflows using Pandas, Polars , or equivalent data libraries. Hands-on experience designing and optimizing cloud-native data warehouses/datalakes, specifically Snowflake . Modern Data Pipelines: Proven experience building, maintaining, and optimizing scalable ETL/ELT workflows and data pipelines. Specialized experience in Asset-Based Finance (ABF) and mortgage servicing (e.g., settlements, remittances, cash consolidation, and servicing workflows). Demonstrated success managing full lifecycle project delivery, driving requirements from design and build to testing and deployment. Exceptional communication and change management skills, with a track record of bridging the gap between technical teams and business leadership. What is in it for you: Be part of the fastest-growing AI-first digital transformation and engineering company in the world Be a part of an energetic team of highly dynamic and talented individuals Exposure to working with fortune 500 companies and innovative market disruptors Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
Job Description Title : AI Architect Location : Nutley, NJ or NY Duration : 12+ Months Rate : OPEN Visa Status : Any In-Person Interview : No Relevant Experience (in Yrs.) : 5+ Detailed Job Description: We are seeking an experienced AI Architect to design, architect, and lead the implementation of enterprise-scale Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and Agentic AI solutions. The ideal candidate will have strong expertise in AI architecture, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent systems, cloud AI platforms, and enterprise application integration. The AI Architect will collaborate with business stakeholders, data scientists, ML engineers, software developers, security teams, and enterprise architects to translate business requirements into scalable, secure, reliable, and cost-effective AI solutions. Key Responsibilities Define enterprise AI architecture, reference architectures, technical standards, and implementation roadmaps. Design and implement Generative AI solutions using LLMs, prompt engineering, RAG, embeddings, vector databases, and semantic search. Architect AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent technologies. Evaluate and integrate foundation models from OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, and other AI platforms. Design scalable AI services and integrations using Python, REST APIs, microservices, and event-driven architectures. Build enterprise knowledge retrieval solutions using vector databases and enterprise data sources. Define MLOps and LLMOps practices covering model deployment, CI/CD, automated evaluation, monitoring, versioning, and lifecycle management. Establish AI security and governance standards, including responsible AI, data privacy, access control, model risk management, and regulatory compliance. Optimize AI solutions for performance, latency, scalability, token consumption, and cloud operating costs. Collaborate with business and technical teams to identify AI use cases, conduct proof of concepts, and transition successful solutions into production. Establish evaluation frameworks to measure model accuracy, hallucination rates, relevance, reliability, and business outcomes. Mentor AI/ML engineers and provide technical leadership throughout solution design, development, deployment, and operations. Thanks, and Regards Prasanna Kumar Senior Talent Acquisition Lead Ascii Group LLC Email: Phone: +1 / Ext 112
10/25/2026
Full time
Job Description Title : AI Architect Location : Nutley, NJ or NY Duration : 12+ Months Rate : OPEN Visa Status : Any In-Person Interview : No Relevant Experience (in Yrs.) : 5+ Detailed Job Description: We are seeking an experienced AI Architect to design, architect, and lead the implementation of enterprise-scale Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and Agentic AI solutions. The ideal candidate will have strong expertise in AI architecture, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent systems, cloud AI platforms, and enterprise application integration. The AI Architect will collaborate with business stakeholders, data scientists, ML engineers, software developers, security teams, and enterprise architects to translate business requirements into scalable, secure, reliable, and cost-effective AI solutions. Key Responsibilities Define enterprise AI architecture, reference architectures, technical standards, and implementation roadmaps. Design and implement Generative AI solutions using LLMs, prompt engineering, RAG, embeddings, vector databases, and semantic search. Architect AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent technologies. Evaluate and integrate foundation models from OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, and other AI platforms. Design scalable AI services and integrations using Python, REST APIs, microservices, and event-driven architectures. Build enterprise knowledge retrieval solutions using vector databases and enterprise data sources. Define MLOps and LLMOps practices covering model deployment, CI/CD, automated evaluation, monitoring, versioning, and lifecycle management. Establish AI security and governance standards, including responsible AI, data privacy, access control, model risk management, and regulatory compliance. Optimize AI solutions for performance, latency, scalability, token consumption, and cloud operating costs. Collaborate with business and technical teams to identify AI use cases, conduct proof of concepts, and transition successful solutions into production. Establish evaluation frameworks to measure model accuracy, hallucination rates, relevance, reliability, and business outcomes. Mentor AI/ML engineers and provide technical leadership throughout solution design, development, deployment, and operations. Thanks, and Regards Prasanna Kumar Senior Talent Acquisition Lead Ascii Group LLC Email: Phone: +1 / Ext 112
Job Description At Applied Digital, we are the epicenter of AI innovation, crafting cutting-edge data center solutions tailored for the demands of high-performance computing. Designed from the ground up to support AI and machine learning workloads, our infrastructure is the backbone of tomorrow's technological advancements, including AI-driven video and generative platforms. We are: Forward-Thinkers: With a keen eye on current market trends and future innovations, we adapt swiftly and lead technological evolution. Resilient: We navigate complex challenges and emerge stronger, delivering robust and reliable solutions for industry pioneers. Innovative Designers: Leveraging the latest technologies, we create visionary solutions that redefine industry standards. We remain committed and steadfast in solving intricate problems, advancing business initiatives, maximizing operational efficiency, and reducing our carbon footprint. We are a team of resilient, forward-thinking innovators driving the AI revolution. Senior Field Superintendent Role The Senior Field Superintendent will directly supervise and coordinate construction activities of the datacenters that are being constructed and report directly to Applied Digital's Campus Project Director. The Superintendent will play a critical role in ensuring the project's success by monitoring and facilitating collaboration among Applied Digital, contractors, subcontractors, 3rd party vendors/contractors, and regulatory bodies. This position requires a unique blend of technical expertise, communication skills, and project management acumen. Projects include but are not limited to: Development of ground-up data center buildings Redevelopment or upgrade of existing properties to state-of-the-art data centers Expansion of data centers and critical infrastructure within existing facilities or on existing property Large customer fit-outs and retrofits to accommodate customers occupancy and deployment needs Duties: Scope Specific Depend on qualifications, this role is available to Mechanical and Electrical scope expertise. The roles of Senior Electrical Superintendent of Senior Electrical Superintendent are available to the right applicants Duties as outline below would apply with an emphasis on the specific scope EH&S Job Site Specific (Primary and Supporting Role): Collaborate with APLD on site EH&S to establish and sustain site health, safety, and security controls in accordance with corporate objectives Procurement (Primary Responsibility): Ensure the GC is properly managing site logistics for APLD owner furnished equipment. Know and understand the full OFCI process and what gear is coming and when. Work with Project Manager to receive approved submittal for all owner-furnished equipment. Ensure that the general contractor has a process for managing OFCI documentation and is receiving the appropriate documents. Inspect and check-in all Applied Digital-furnished equipment and materials that arrive to the jobsite Construction Management, Administration & Management (Primary Responsibility): Be on site on behalf of APLD Monday - Friday 7A - 5P, exact times and days may fluctuate, to monitor construction activities. Weekday evenings and weekends may be needed pending project schedule. Respond on an as-needed basis to emergencies. Make APLD aware of neighbor or other local jurisdiction complaints or issues. Participate in GC-led weekly meetings which may include, but is not limited to: OAC, subcontractor coordination, pull planning, design, BIM/VDC meetings, RFI/Submittal, etc. Provide onsite technical Construction SME support, ROJ dates, visual inspection and/or observation for construction quality control of OFCI and CFCI equipment and Supply chain management Management of team members, key stakeholders, neighboring properties, contractors, utility providers and inspection agencies Address any disputes or conflicts that may arise during the project, working collaboratively with all parties to find mutually acceptable solutions. Escalating to Project Manager team when appropriate. Know and understand key schedule milestones. Actively track contractor activities in alignment with schedule. Will be responsible for communicating schedule impacts, delays, and issues. Prepare succinct and clear reports on project progress on a monthly/weekly basis or as needed including plan, actual, variance, risk, and mitigation measures. Quality Control(Primary Responsibility): Manage onsite job photography. Take time to understand the GC's Quality Control plan. Work with the Project Manger to ensure the plan adheres to APLD provided specifications. Manage the on-site QA/QC inspection process to drive closure of punch-list items and an expeditious turnover to Operations. Develop/monitor quality program metrics to evaluate the project's performance. Analyze metrics to understand the root cause of any problematic trends and then work with the applicable parties to correct those items. Ensure contractors are adhering to site cleanliness plans and following industry best practices for Data Center construction i.e. - (no dust producing activities in critical spaces, etc) Review/Management of owner provided specialty testing and inspections contractors Site Security (Primary Responsibility): Ensure the GC manages the site to the agreed upon site specific security plan. Billing and Invoice Processing & Change Management (Primary Responsibility): Assist in pay monitoring and control to ensure that the project remains within budgetary constraints. Review with the Applied Digital Project Manager change orders and pay applications from the contractor and vendors. Commissioning & Training (Supporting Role): Assist as required with Engineering team and CxA for startup and Commissioning. Closeout & Turn-over (Primary Responsibility): Coordinate with Project Manager and APLD Engineering/Turn over team to collect and review of Turnover Package for completeness and accuracy to support transition of completed projects to Operations. Other Promote and demonstrate the behaviors consistent with an APLD Construction Manager in being: Proactive (we encourage hustle fouls), leader in the room (set the example), be an energy supplier (leave people better than how you found them) Manage special or atypical projects as assigned Assist Sales or finance as directed by Supervisor Facilitate interdepartmental coordination in consultation with Supervisor, including but not limited to DCO, Accounting, Finance, Procurement, Engineering Assist or lead, in consultation with Supervisor, department process improvement initiatives Act as APLD site logistics lead - office trailer, signage, equipment, UTVs, etc. set up and management Manage tour requests and site visits on behalf of APLD. Knowledge, Skills & Abilities: Excellent listening and strong communication skills. Ability to identify and resolve complex issues. Ability to create and support team morale. Apply critical thinking and logic to problem solving. Articulate contract and technical matters clearly Exceptional communication and presentation abilities. Demonstrated understanding of building processes and systems. Work scope requires understanding of cost estimating, budgeting and forecasting. Demonstrates an unwavering commitment to foster a safe work environment. A strong work ethic and a "can-do" attitude. Self-starter and ability to work independently Strong cultural fit with Applied Digital and willingness to work collaborative on the execution of this project. Basic Qualifications 10+ years of experience in commercial, industrial, or mission-critical construction preferred Work experience with Microsoft Office Suite and project management software OSHA 30 Certified or willing to achieve. Understanding of CPM Schedule Logic Please note that Applied Digital is currently unable to sponsor new applicants for employment authorization or provide immigration-related support for this position. This includes, but is not limited to, visa categories such as H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1, O-1, and any Employment Authorization Documents (EADs) or other work authorizations that require employer sponsorship. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to handle, or feel objects; reach with hands and arms; climb stairs; balance; stoop or kneel; talk and hear. The employee must occasionally lift and/or move up to 25 pounds. Please note that Applied Digital is currently unable to sponsor new applicants for employment authorization or provide immigration-related support for this position. This includes, but is not limited to, visa categories such as H-1B, F-1 OPT . click apply for full job details
10/25/2026
Full time
Job Description At Applied Digital, we are the epicenter of AI innovation, crafting cutting-edge data center solutions tailored for the demands of high-performance computing. Designed from the ground up to support AI and machine learning workloads, our infrastructure is the backbone of tomorrow's technological advancements, including AI-driven video and generative platforms. We are: Forward-Thinkers: With a keen eye on current market trends and future innovations, we adapt swiftly and lead technological evolution. Resilient: We navigate complex challenges and emerge stronger, delivering robust and reliable solutions for industry pioneers. Innovative Designers: Leveraging the latest technologies, we create visionary solutions that redefine industry standards. We remain committed and steadfast in solving intricate problems, advancing business initiatives, maximizing operational efficiency, and reducing our carbon footprint. We are a team of resilient, forward-thinking innovators driving the AI revolution. Senior Field Superintendent Role The Senior Field Superintendent will directly supervise and coordinate construction activities of the datacenters that are being constructed and report directly to Applied Digital's Campus Project Director. The Superintendent will play a critical role in ensuring the project's success by monitoring and facilitating collaboration among Applied Digital, contractors, subcontractors, 3rd party vendors/contractors, and regulatory bodies. This position requires a unique blend of technical expertise, communication skills, and project management acumen. Projects include but are not limited to: Development of ground-up data center buildings Redevelopment or upgrade of existing properties to state-of-the-art data centers Expansion of data centers and critical infrastructure within existing facilities or on existing property Large customer fit-outs and retrofits to accommodate customers occupancy and deployment needs Duties: Scope Specific Depend on qualifications, this role is available to Mechanical and Electrical scope expertise. The roles of Senior Electrical Superintendent of Senior Electrical Superintendent are available to the right applicants Duties as outline below would apply with an emphasis on the specific scope EH&S Job Site Specific (Primary and Supporting Role): Collaborate with APLD on site EH&S to establish and sustain site health, safety, and security controls in accordance with corporate objectives Procurement (Primary Responsibility): Ensure the GC is properly managing site logistics for APLD owner furnished equipment. Know and understand the full OFCI process and what gear is coming and when. Work with Project Manager to receive approved submittal for all owner-furnished equipment. Ensure that the general contractor has a process for managing OFCI documentation and is receiving the appropriate documents. Inspect and check-in all Applied Digital-furnished equipment and materials that arrive to the jobsite Construction Management, Administration & Management (Primary Responsibility): Be on site on behalf of APLD Monday - Friday 7A - 5P, exact times and days may fluctuate, to monitor construction activities. Weekday evenings and weekends may be needed pending project schedule. Respond on an as-needed basis to emergencies. Make APLD aware of neighbor or other local jurisdiction complaints or issues. Participate in GC-led weekly meetings which may include, but is not limited to: OAC, subcontractor coordination, pull planning, design, BIM/VDC meetings, RFI/Submittal, etc. Provide onsite technical Construction SME support, ROJ dates, visual inspection and/or observation for construction quality control of OFCI and CFCI equipment and Supply chain management Management of team members, key stakeholders, neighboring properties, contractors, utility providers and inspection agencies Address any disputes or conflicts that may arise during the project, working collaboratively with all parties to find mutually acceptable solutions. Escalating to Project Manager team when appropriate. Know and understand key schedule milestones. Actively track contractor activities in alignment with schedule. Will be responsible for communicating schedule impacts, delays, and issues. Prepare succinct and clear reports on project progress on a monthly/weekly basis or as needed including plan, actual, variance, risk, and mitigation measures. Quality Control(Primary Responsibility): Manage onsite job photography. Take time to understand the GC's Quality Control plan. Work with the Project Manger to ensure the plan adheres to APLD provided specifications. Manage the on-site QA/QC inspection process to drive closure of punch-list items and an expeditious turnover to Operations. Develop/monitor quality program metrics to evaluate the project's performance. Analyze metrics to understand the root cause of any problematic trends and then work with the applicable parties to correct those items. Ensure contractors are adhering to site cleanliness plans and following industry best practices for Data Center construction i.e. - (no dust producing activities in critical spaces, etc) Review/Management of owner provided specialty testing and inspections contractors Site Security (Primary Responsibility): Ensure the GC manages the site to the agreed upon site specific security plan. Billing and Invoice Processing & Change Management (Primary Responsibility): Assist in pay monitoring and control to ensure that the project remains within budgetary constraints. Review with the Applied Digital Project Manager change orders and pay applications from the contractor and vendors. Commissioning & Training (Supporting Role): Assist as required with Engineering team and CxA for startup and Commissioning. Closeout & Turn-over (Primary Responsibility): Coordinate with Project Manager and APLD Engineering/Turn over team to collect and review of Turnover Package for completeness and accuracy to support transition of completed projects to Operations. Other Promote and demonstrate the behaviors consistent with an APLD Construction Manager in being: Proactive (we encourage hustle fouls), leader in the room (set the example), be an energy supplier (leave people better than how you found them) Manage special or atypical projects as assigned Assist Sales or finance as directed by Supervisor Facilitate interdepartmental coordination in consultation with Supervisor, including but not limited to DCO, Accounting, Finance, Procurement, Engineering Assist or lead, in consultation with Supervisor, department process improvement initiatives Act as APLD site logistics lead - office trailer, signage, equipment, UTVs, etc. set up and management Manage tour requests and site visits on behalf of APLD. Knowledge, Skills & Abilities: Excellent listening and strong communication skills. Ability to identify and resolve complex issues. Ability to create and support team morale. Apply critical thinking and logic to problem solving. Articulate contract and technical matters clearly Exceptional communication and presentation abilities. Demonstrated understanding of building processes and systems. Work scope requires understanding of cost estimating, budgeting and forecasting. Demonstrates an unwavering commitment to foster a safe work environment. A strong work ethic and a "can-do" attitude. Self-starter and ability to work independently Strong cultural fit with Applied Digital and willingness to work collaborative on the execution of this project. Basic Qualifications 10+ years of experience in commercial, industrial, or mission-critical construction preferred Work experience with Microsoft Office Suite and project management software OSHA 30 Certified or willing to achieve. Understanding of CPM Schedule Logic Please note that Applied Digital is currently unable to sponsor new applicants for employment authorization or provide immigration-related support for this position. This includes, but is not limited to, visa categories such as H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1, O-1, and any Employment Authorization Documents (EADs) or other work authorizations that require employer sponsorship. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to handle, or feel objects; reach with hands and arms; climb stairs; balance; stoop or kneel; talk and hear. The employee must occasionally lift and/or move up to 25 pounds. Please note that Applied Digital is currently unable to sponsor new applicants for employment authorization or provide immigration-related support for this position. This includes, but is not limited to, visa categories such as H-1B, F-1 OPT . click apply for full job details
Job Description About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world's leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies-we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. . We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: 21 Google Cloud Partner of the Year awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work-reflecting our commitment to our people and our culture. For more details, visit: Website or LinkedIn Page Role: Senior Engagement Manager Employment type: Full Time Experience: 8+ years Location : Remote (USA) Description: We are looking for a strong EM lead with people management experience to lead a team of business analysts and engineers focused on building and driving solutions and insights to drive business efficiency and customer experience. The ideal candidate will have strong project management, leadership and cross-group collaboration skills. What You Will Do: As an Senior Engagement Manager, you'll lead the delivery management of multi-functional medium/large scale AWS programs, covering project planning, delivery assurance and verification, tracking and reporting, and risk/mitigation planning. Take accountability for our customers to ensure the program(s) realizes financial benefits and transformational outcomes, constantly identify and develop new business opportunities. Work with engineering leads in strategizing and executing multi-year roadmap on portfolio of products, applications, and services. Ensure quality execution and proactively identify potential customer issues and resolve them with speed and efficiency, to drive satisfaction, outcomes, and deliver positive customer partner experience. Coordinate, measure, monitor and communicate on program(s) health. Actively contribute to org-wide strategies, in defining and implementing those along with contributing to team's roadmap and portfolio of services in alignment to the wider organization. Maintain a relentless focus across the team on continuous improvement, planning and implementing changes to process, service and technology to transform how the team operates. Build a collaborative environment - coach/mentor team members. Recruit, motivate and develop highly skilled staffs that focuses on service delivery of key performance metrics as per the client contract. Basic Qualifications: Minimum 8 yrs of experience in delivering digital transformation projects to global clients. Experience in program management, client service, and/or management consulting. Knowledge of leading teams on projects using agile methodology and frameworks like scrum, kanban or XP, etc. Strong verbal and written communication skills with technical and business leaders at all levels within large enterprises. Aptitude in business analysis and leveraging quantitative analysis techniques for decision making. Ability to work with minimal supervision in a dynamic and time sensitive work environment. Knowledge and willingness to learn and apply emerging trends in business research, data science, artificial intelligence, machine learning, and cloud computing - AWS exposure is a value addition. Team management experience is a must. What is in it for you: Join one of the world's fastest-growing AI-first digital engineering companies and make a real impact at scale. Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges. Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents. Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
10/25/2026
Full time
Job Description About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world's leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies-we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. . We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: 21 Google Cloud Partner of the Year awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work-reflecting our commitment to our people and our culture. For more details, visit: Website or LinkedIn Page Role: Senior Engagement Manager Employment type: Full Time Experience: 8+ years Location : Remote (USA) Description: We are looking for a strong EM lead with people management experience to lead a team of business analysts and engineers focused on building and driving solutions and insights to drive business efficiency and customer experience. The ideal candidate will have strong project management, leadership and cross-group collaboration skills. What You Will Do: As an Senior Engagement Manager, you'll lead the delivery management of multi-functional medium/large scale AWS programs, covering project planning, delivery assurance and verification, tracking and reporting, and risk/mitigation planning. Take accountability for our customers to ensure the program(s) realizes financial benefits and transformational outcomes, constantly identify and develop new business opportunities. Work with engineering leads in strategizing and executing multi-year roadmap on portfolio of products, applications, and services. Ensure quality execution and proactively identify potential customer issues and resolve them with speed and efficiency, to drive satisfaction, outcomes, and deliver positive customer partner experience. Coordinate, measure, monitor and communicate on program(s) health. Actively contribute to org-wide strategies, in defining and implementing those along with contributing to team's roadmap and portfolio of services in alignment to the wider organization. Maintain a relentless focus across the team on continuous improvement, planning and implementing changes to process, service and technology to transform how the team operates. Build a collaborative environment - coach/mentor team members. Recruit, motivate and develop highly skilled staffs that focuses on service delivery of key performance metrics as per the client contract. Basic Qualifications: Minimum 8 yrs of experience in delivering digital transformation projects to global clients. Experience in program management, client service, and/or management consulting. Knowledge of leading teams on projects using agile methodology and frameworks like scrum, kanban or XP, etc. Strong verbal and written communication skills with technical and business leaders at all levels within large enterprises. Aptitude in business analysis and leveraging quantitative analysis techniques for decision making. Ability to work with minimal supervision in a dynamic and time sensitive work environment. Knowledge and willingness to learn and apply emerging trends in business research, data science, artificial intelligence, machine learning, and cloud computing - AWS exposure is a value addition. Team management experience is a must. What is in it for you: Join one of the world's fastest-growing AI-first digital engineering companies and make a real impact at scale. Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges. Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents. Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
Job Description ITC Infotech is a wholly owned subsidiary of ITC Limited, one of India's foremost private sector companies and a diversified conglomerate. The ITC Group, with a market capitalization of $65 billion, is globally recognized as a leader in sustainability. The group's vision is to achieve world-class performance and create growing value for both the Indian economy and its stakeholders. This vision is supported by core values such as Trusteeship, where professional managers hold the company in "trust" for its stakeholders; a strong Customer Focus; Respect for People; a commitment to Excellence; a pursuit of Innovation; and a strong Nation Orientation. ITC Infotech's business philosophy is that business is at the center and technology is an enabler, as reflected in its tagline, "Business-friendly Solutions." The company offers a wide range of services and solutions across key business areas, including CIO Services (Automation, Digital Workplace, ERP), Digital Experience (Experience Transformation), and Product 4.0 (Product Lifecycle Management, Digital Manufacturing). In the last seven years, ITC Infotech has successfully doubled its revenue from $250 million to $500 million+ annually, with its EBIT improving from 8% to over 18%. Principal Enterprise Solutions Architect (Data & Enterprise Platform) Location: Seattle WA Role Overview We are seeking a Principal Enterprise Solutions Architect who will serve as the trusted technology leader and strategic advisor for Data and Enterprise Platforms, driving architecture, engineering excellence, platform transformation, and technology governance while aligning technology roadmaps with business goals and value realization. You will not only shape and share the technical vision but will also remain deeply ingrained in the system-driving hands-on architecture design, enforcing engineering discipline, and ensuring seamless delivery. You will bridge the gap between business strategy and highly scalable technical execution, transforming legacy batch data processes into modern event-driven systems and infusing AI into the Software Development Life Cycle (SDLC) to optimize velocity and quality. Experience & Qualifications: Key Responsibilities: Data & Architecture: Lead data engineering, integration, governance, modernization, and enterprise data architecture. Enterprise Platforms: Provide architectural leadership across Anaplan, VibeIQ, Precisely MDM/PIM, and downstream integrations. Engineering Excellence: Drive platform reliability, data quality, scalability, integration standards, and architectural simplification. Technology Advisory: Challenge existing architecture, shape transformation roadmaps, and influence senior client stakeholders. Functional Expertise (Good to have): Strong understanding of Merchandise Financial Planning (MFP), Visual Assortment Planning, product and merchandise hierarchies, and associated data flows. Deliver measurable business outcomes through technology modernization, increased organizational agility, cost optimization, and enhanced support for merchandising and planning capabilities. Pre-requisites: 18+ years of experience in Data Engineering, Enterprise Architecture, Retail Technology, and large-scale digital transformation initiatives. Strong understanding of modern data platforms, cloud technologies, analytics architectures, and enterprise integration frameworks. Proven experience leading the architecture and implementation of enterprise retail platforms such as merchandising, planning, replenishment, product information management, and order management systems. Ability to design and execute enterprise-wide technology roadmaps that align with strategic business objectives and deliver measurable business value. Strong executive communication skills with the ability to present complex technology concepts to both technical and non-technical audiences. Strong understanding of AI, advanced analytics, machine learning, and data-driven decision-making capabilities within the retail ecosystem. Demonstrated leadership in driving organizational change, stakeholder alignment, and adoption of new technologies and business processes. Passion for innovation and continuous improvement, with a focus on enhancing customer experience, operational efficiency, and business growth. Deep functional and technical expertise across Retail Merchandising, Assortment Planning, Demand Forecasting, Inventory Management, Allocation, and Pricing solutions. Education Qualification: Bachelor's or master's degree in computer science , Engineering, Information Systems, Business Administration (MBA), or a related field is strongly preferred. Salary Range: The base salary range for this position is $176,156 - $205,775 annually. Actual compensation will depend on factors including skills, experience, location, and business needs. In addition to base salary, this position would have comprehensive benefits & 401K with employer match. ITC Infotech is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. ITC infotech is committed to providing veteran employment opportunities to our service men and women.
10/25/2026
Full time
Job Description ITC Infotech is a wholly owned subsidiary of ITC Limited, one of India's foremost private sector companies and a diversified conglomerate. The ITC Group, with a market capitalization of $65 billion, is globally recognized as a leader in sustainability. The group's vision is to achieve world-class performance and create growing value for both the Indian economy and its stakeholders. This vision is supported by core values such as Trusteeship, where professional managers hold the company in "trust" for its stakeholders; a strong Customer Focus; Respect for People; a commitment to Excellence; a pursuit of Innovation; and a strong Nation Orientation. ITC Infotech's business philosophy is that business is at the center and technology is an enabler, as reflected in its tagline, "Business-friendly Solutions." The company offers a wide range of services and solutions across key business areas, including CIO Services (Automation, Digital Workplace, ERP), Digital Experience (Experience Transformation), and Product 4.0 (Product Lifecycle Management, Digital Manufacturing). In the last seven years, ITC Infotech has successfully doubled its revenue from $250 million to $500 million+ annually, with its EBIT improving from 8% to over 18%. Principal Enterprise Solutions Architect (Data & Enterprise Platform) Location: Seattle WA Role Overview We are seeking a Principal Enterprise Solutions Architect who will serve as the trusted technology leader and strategic advisor for Data and Enterprise Platforms, driving architecture, engineering excellence, platform transformation, and technology governance while aligning technology roadmaps with business goals and value realization. You will not only shape and share the technical vision but will also remain deeply ingrained in the system-driving hands-on architecture design, enforcing engineering discipline, and ensuring seamless delivery. You will bridge the gap between business strategy and highly scalable technical execution, transforming legacy batch data processes into modern event-driven systems and infusing AI into the Software Development Life Cycle (SDLC) to optimize velocity and quality. Experience & Qualifications: Key Responsibilities: Data & Architecture: Lead data engineering, integration, governance, modernization, and enterprise data architecture. Enterprise Platforms: Provide architectural leadership across Anaplan, VibeIQ, Precisely MDM/PIM, and downstream integrations. Engineering Excellence: Drive platform reliability, data quality, scalability, integration standards, and architectural simplification. Technology Advisory: Challenge existing architecture, shape transformation roadmaps, and influence senior client stakeholders. Functional Expertise (Good to have): Strong understanding of Merchandise Financial Planning (MFP), Visual Assortment Planning, product and merchandise hierarchies, and associated data flows. Deliver measurable business outcomes through technology modernization, increased organizational agility, cost optimization, and enhanced support for merchandising and planning capabilities. Pre-requisites: 18+ years of experience in Data Engineering, Enterprise Architecture, Retail Technology, and large-scale digital transformation initiatives. Strong understanding of modern data platforms, cloud technologies, analytics architectures, and enterprise integration frameworks. Proven experience leading the architecture and implementation of enterprise retail platforms such as merchandising, planning, replenishment, product information management, and order management systems. Ability to design and execute enterprise-wide technology roadmaps that align with strategic business objectives and deliver measurable business value. Strong executive communication skills with the ability to present complex technology concepts to both technical and non-technical audiences. Strong understanding of AI, advanced analytics, machine learning, and data-driven decision-making capabilities within the retail ecosystem. Demonstrated leadership in driving organizational change, stakeholder alignment, and adoption of new technologies and business processes. Passion for innovation and continuous improvement, with a focus on enhancing customer experience, operational efficiency, and business growth. Deep functional and technical expertise across Retail Merchandising, Assortment Planning, Demand Forecasting, Inventory Management, Allocation, and Pricing solutions. Education Qualification: Bachelor's or master's degree in computer science , Engineering, Information Systems, Business Administration (MBA), or a related field is strongly preferred. Salary Range: The base salary range for this position is $176,156 - $205,775 annually. Actual compensation will depend on factors including skills, experience, location, and business needs. In addition to base salary, this position would have comprehensive benefits & 401K with employer match. ITC Infotech is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. ITC infotech is committed to providing veteran employment opportunities to our service men and women.
Job Description About Midea America Corp Midea America Corp., is one of the world's largest home appliance brands, offering the most comprehensive selection of products in the world to fully serve the needs of day-to-day living at home, at work, or anywhere else you go. In North America we strive to aim high, put the customer first, transform and innovate the marketplace, utilizing our commitment, dedication, inclusion, and partnership with our teams. Midea America is a subsidiary of the Midea Group, a global company with over 150,000 employees and operations in more than 195 countries. As a publicly listed company, we are ranked as a Fortune Global 500 company and offer one of the most comprehensive product portfolios in the industry. Job Summary The Senior Innovation Engineer is a key member of the Front-End Innovation and Product Development organization, responsible for identifying unmet consumer needs, incubating innovative technologies, and leading the development of next-generation microwave cooking solutions for the North American market. This role combines disruptive innovation, advanced engineering research, and product development activities to drive product differentiation across Over-the-Range Microwave Ovens (OTRs), Countertop Microwave Ovens (CMOs), combination ovens and emerging cooking platforms. The position focuses on translating consumer insights, market trends, competitive benchmarking, and emerging technologies into commercially viable products, features, and intellectual property that strengthen Midea's market leadership. The successful candidate will lead innovation initiatives from concept ideation, technology evaluation, and prototype development through commercialization, while serving as a technical expert in microwave cooking systems, ventilation systems, connectivity, and user experience. Essential Job Responsibilities Develop breakthrough product concepts, user experiences, and technology roadmaps that support future product platforms and strategic business growth. Conduct consumer research, competitive benchmarking, technology scouting, and trend analysis to identify opportunities for product differentiation and innovation. Lead the design, validation, and optimization of OTR ventilation systems, including blower configurations, airflow management, grease filtration, noise reduction, air recirculation, and outside venting solutions. Conduct airflow, acoustic, thermal, smoke-capture, and cooking-effluent performance evaluations to improve ventilation effectiveness and user experience. Design and develop microwave subsystems, including cavity systems, inverter technologies, high-voltage systems, controls, electronics, ventilation systems, and user interfaces. Lead the creation, evaluation, documentation, and protection of innovative technologies, product concepts, and intellectual property; develop invention disclosures, support patent filings, and build a robust patent portfolio that strengthens the company's competitive position. Partner with external technology providers, startups, universities, and suppliers to evaluate emerging technology opportunities and strategic collaborations. Mentor junior engineers and provide technical leadership across cross-functional project teams to accelerate innovation and product development effectiveness. Support domestic and international travel to collaborate with overseas R&D centers, suppliers, manufacturing facilities, attend trade shows, and consumer research activities. Qualifications Bachelor's degree in Engineering, Business, Product Management, Product Development, Data Analytics, Marketing, or a related discipline; Master's degree preferred. 7+ years of experience in product planning, product management, product development, engineering, innovation management, or portfolio management preferably within the cooking appliance industry. Proven experience developing product roadmaps, portfolio strategies, business cases, product requirements, and commercialization plans, translating consumer insights and market opportunities into successful products. Experience leveraging data analytics, business intelligence, AI-enabled insights, market research, consumer analytics, Voice of Customer Data, and competitive intelligence to support innovation and strategic decision-making. Proficiency with business intelligence, data visualization, and analytical tools such as Power BI, Tableau, SQL, Python, and AI-assisted analytics; experience with machine learning, predictive modeling and forecasting. Familiarity with North American appliance regulations, codes, and certification standards, including UL, CSA, ANSI, DOE, ENERGY STAR , and other applicable safety, performance, energy efficiency, and compliance requirements, is preferred. Strong project management, problem-solving, decision-making, communication, presentation, and interpersonal skills, with the ability to effectively communicate complex technical and business concepts to diverse audiences. Ability to influence and collaborate effectively across engineering, marketing, sales, sourcing, manufacturing, quality, and executive leadership teams. Experience working with global product development teams, international suppliers, and manufacturing organizations in a multicultural environment. Disclaimer This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities. Duties, responsibilities, and activities may change at any time with or without notice. EEO Statement We are an equal opportunity employer and value diversity. All employment is decided based on qualifications, merit, and business need.
10/25/2026
Full time
Job Description About Midea America Corp Midea America Corp., is one of the world's largest home appliance brands, offering the most comprehensive selection of products in the world to fully serve the needs of day-to-day living at home, at work, or anywhere else you go. In North America we strive to aim high, put the customer first, transform and innovate the marketplace, utilizing our commitment, dedication, inclusion, and partnership with our teams. Midea America is a subsidiary of the Midea Group, a global company with over 150,000 employees and operations in more than 195 countries. As a publicly listed company, we are ranked as a Fortune Global 500 company and offer one of the most comprehensive product portfolios in the industry. Job Summary The Senior Innovation Engineer is a key member of the Front-End Innovation and Product Development organization, responsible for identifying unmet consumer needs, incubating innovative technologies, and leading the development of next-generation microwave cooking solutions for the North American market. This role combines disruptive innovation, advanced engineering research, and product development activities to drive product differentiation across Over-the-Range Microwave Ovens (OTRs), Countertop Microwave Ovens (CMOs), combination ovens and emerging cooking platforms. The position focuses on translating consumer insights, market trends, competitive benchmarking, and emerging technologies into commercially viable products, features, and intellectual property that strengthen Midea's market leadership. The successful candidate will lead innovation initiatives from concept ideation, technology evaluation, and prototype development through commercialization, while serving as a technical expert in microwave cooking systems, ventilation systems, connectivity, and user experience. Essential Job Responsibilities Develop breakthrough product concepts, user experiences, and technology roadmaps that support future product platforms and strategic business growth. Conduct consumer research, competitive benchmarking, technology scouting, and trend analysis to identify opportunities for product differentiation and innovation. Lead the design, validation, and optimization of OTR ventilation systems, including blower configurations, airflow management, grease filtration, noise reduction, air recirculation, and outside venting solutions. Conduct airflow, acoustic, thermal, smoke-capture, and cooking-effluent performance evaluations to improve ventilation effectiveness and user experience. Design and develop microwave subsystems, including cavity systems, inverter technologies, high-voltage systems, controls, electronics, ventilation systems, and user interfaces. Lead the creation, evaluation, documentation, and protection of innovative technologies, product concepts, and intellectual property; develop invention disclosures, support patent filings, and build a robust patent portfolio that strengthens the company's competitive position. Partner with external technology providers, startups, universities, and suppliers to evaluate emerging technology opportunities and strategic collaborations. Mentor junior engineers and provide technical leadership across cross-functional project teams to accelerate innovation and product development effectiveness. Support domestic and international travel to collaborate with overseas R&D centers, suppliers, manufacturing facilities, attend trade shows, and consumer research activities. Qualifications Bachelor's degree in Engineering, Business, Product Management, Product Development, Data Analytics, Marketing, or a related discipline; Master's degree preferred. 7+ years of experience in product planning, product management, product development, engineering, innovation management, or portfolio management preferably within the cooking appliance industry. Proven experience developing product roadmaps, portfolio strategies, business cases, product requirements, and commercialization plans, translating consumer insights and market opportunities into successful products. Experience leveraging data analytics, business intelligence, AI-enabled insights, market research, consumer analytics, Voice of Customer Data, and competitive intelligence to support innovation and strategic decision-making. Proficiency with business intelligence, data visualization, and analytical tools such as Power BI, Tableau, SQL, Python, and AI-assisted analytics; experience with machine learning, predictive modeling and forecasting. Familiarity with North American appliance regulations, codes, and certification standards, including UL, CSA, ANSI, DOE, ENERGY STAR , and other applicable safety, performance, energy efficiency, and compliance requirements, is preferred. Strong project management, problem-solving, decision-making, communication, presentation, and interpersonal skills, with the ability to effectively communicate complex technical and business concepts to diverse audiences. Ability to influence and collaborate effectively across engineering, marketing, sales, sourcing, manufacturing, quality, and executive leadership teams. Experience working with global product development teams, international suppliers, and manufacturing organizations in a multicultural environment. Disclaimer This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities. Duties, responsibilities, and activities may change at any time with or without notice. EEO Statement We are an equal opportunity employer and value diversity. All employment is decided based on qualifications, merit, and business need.
Adaptive Financial Consulting Ltd
New York, New York
This job is with Adaptive Financial Consulting Ltd, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Adaptive, we partner with capital, commodity and digital market participants, and we see technology as a true differentiator. Our experienced teams design and deliver complex front-office technology solutions, using our proven accelerators to create long-term competitive advantage. Our clients include the world's leading investment banks, investment managers, fintechs and capital market service providers. With offices in London, New York, Barcelona, Montreal and Manila we have a proven track record of delivering trading technology that is powerful, elegant and intuitive. We are hiring a Senior Java Distributed Systems Engineer to help build Aeron Sequencer , our technology for applying state machine replication to capital markets. You will work on distributed systems that enable other engineering teams to build performant, reliable software. This is a hands-on role with the opportunity to influence product decisions, architecture, engineering practices, and how we communicate our work. YOU ARE: Collaborative, with a genuine interest in sharing knowledge and learning from others. Able to use your judgement to prioritise competing demands based on long-term value and explain those priorities to stakeholders. Confident in challenging the status quo and suggesting improvements, both technical and cultural. YOU HAVE: Experience designing, building, debugging and operating distributed systems. Strong experience developing server-side software in Java. Experience designing and evolving messaging protocols or software libraries. Experience using different forms of testing to support software quality, including correctness and performance. Experience measuring, benchmarking and profiling components or systems. Strong written and verbal communication skills. YOU WILL: Analyse, design, discuss and develop distributed systems built on replicated state machines. Write clean, efficient Java code that is maintainable and self-documenting. Design and evolve messaging protocols and software libraries. Troubleshoot and debug Java applications and distributed systems. Drive improvements in correctness and performance through testing, benchmarking, measurement and profiling. Raise the quality of our work through code reviews, pairing and technical discussions. Contribute to product decisions, not just task execution. Keep up to date with relevant software engineering technologies and practices. Communicate technical decisions and priorities clearly to both technical and non-technical stakeholders. Join the team's on-call rotation to troubleshoot and resolve production issues once familiar with the systems. WHY ADAPTIVE: Interesting engineering problems. Work alongside passionate engineers on software where correctness, performance and usability all matter. Real product influence. Help shape technology used to solve complex problems in financial markets, rather than just delivering on predefined client requirements. Collaborative teams. We share knowledge, learn from one another, value different perspectives, and contribute wherever help is needed. Flexible working. We support a highly flexible, hybrid working model. A sustainable pace. Work-life balance matters to us, and we back it with wellbeing benefits and a focus on long-term performance. An inclusive culture. We aim to create a positive, collaborative environment and support our people and local communities through wellbeing, diversity and inclusion programmes. With offices in London, New York, Barcelona, Montreal and Manila , Adaptive brings together a global team that shares one focus: building better financial technology. WHAT PEOPLE THINK OF US You can check our Glassdoor page BENEFITS (What we offer in return what you'll get) We create benefits with YOU in mind. Flexible hybrid working model Medical from the 1st of month following your start date (i.e. if you join on the 24th of July, it starts on the 1st of August). We have 6 Aetna plans to choose from as provided by our PEO, Justworks. We make a flat monthly contribution to your healthcare costs. Dental and vision from the 1st of the month following your start date - we have 3 dental and 2 vision plans to choose from. We make fixed contributions to each. 23 days of vacation per calendar year plus 11 public holidays Group disability insurance: short-term and long-term (60% and taxable) 401K safe harbor plan where we match contributions up to 5% of base pay on a paycheck-to-paycheck basis (you can opt-in after 90 days of service) Gym subsidy of up to $50 per month (and we pay the taxes on that so it's a real $50) post probation. Life insurance at 2 x salary Commuter benefits Health Savings Account and Flexible Spending Account Actual starting base pay will be determined on skills, experience, and other non-discriminatory factors permitted by law. The Salary range for this position is $240,000 - $300,000 THE PROCESS Long interview processes are stressful and boring and that is not us We want to make sure that everything runs smoothly. So here you will have three stage interviews: 1- A chat with one of our great recruiters. 2- A zoom chat with one of our Java colleagues where they will ask you detailed questions about Java knowledge and your experience. 3- A Face to Face interview (either in our office or via Zoom). During this interview, we will dig even deeper, and you will have a technical task to do. You will also have a chat with our local director. Here is a little tip for you during those stages: Collaboration is massively important to us, so don't hesitate to share your thoughts, ask questions, ask for help if needed, etc :) DIVERSITY & INCLUSION: Diversity and inclusion are key to a great workplace, and Adaptive is better when it's more representative of the world around us. We want everyone to feel comfortable bringing their whole selves to work without any fear of judgment or negativity. All we ask is that our colleagues are respectful, collaborative, passionate about what they do, and have the skills needed to be successful in their roles. Background check: the employment/engagement is subject to an acceptable background check that will be run by Adaptive Adaptive Financial Consulting Inc. makes use of E-Verify to validate someone's right to work in the US. We will provide the Social Security Administration, and, if necessary, the Department of Homeland Security, with information from each new employee's Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants. E-Verify Adaptive uses E-Verify to confirm the employment eligibility of a new hire after they they have completed their I9. E-Verify is not used to pre-screen an applicant for employment, nor is it used to discriminate against applicants on any basis.Base pay will be determined on an individualized basis and is only part of the total compensation package. Pay is based on candidate skills and experience.New York pay range$240,000-$300,000 USD
10/25/2026
Full time
This job is with Adaptive Financial Consulting Ltd, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Adaptive, we partner with capital, commodity and digital market participants, and we see technology as a true differentiator. Our experienced teams design and deliver complex front-office technology solutions, using our proven accelerators to create long-term competitive advantage. Our clients include the world's leading investment banks, investment managers, fintechs and capital market service providers. With offices in London, New York, Barcelona, Montreal and Manila we have a proven track record of delivering trading technology that is powerful, elegant and intuitive. We are hiring a Senior Java Distributed Systems Engineer to help build Aeron Sequencer , our technology for applying state machine replication to capital markets. You will work on distributed systems that enable other engineering teams to build performant, reliable software. This is a hands-on role with the opportunity to influence product decisions, architecture, engineering practices, and how we communicate our work. YOU ARE: Collaborative, with a genuine interest in sharing knowledge and learning from others. Able to use your judgement to prioritise competing demands based on long-term value and explain those priorities to stakeholders. Confident in challenging the status quo and suggesting improvements, both technical and cultural. YOU HAVE: Experience designing, building, debugging and operating distributed systems. Strong experience developing server-side software in Java. Experience designing and evolving messaging protocols or software libraries. Experience using different forms of testing to support software quality, including correctness and performance. Experience measuring, benchmarking and profiling components or systems. Strong written and verbal communication skills. YOU WILL: Analyse, design, discuss and develop distributed systems built on replicated state machines. Write clean, efficient Java code that is maintainable and self-documenting. Design and evolve messaging protocols and software libraries. Troubleshoot and debug Java applications and distributed systems. Drive improvements in correctness and performance through testing, benchmarking, measurement and profiling. Raise the quality of our work through code reviews, pairing and technical discussions. Contribute to product decisions, not just task execution. Keep up to date with relevant software engineering technologies and practices. Communicate technical decisions and priorities clearly to both technical and non-technical stakeholders. Join the team's on-call rotation to troubleshoot and resolve production issues once familiar with the systems. WHY ADAPTIVE: Interesting engineering problems. Work alongside passionate engineers on software where correctness, performance and usability all matter. Real product influence. Help shape technology used to solve complex problems in financial markets, rather than just delivering on predefined client requirements. Collaborative teams. We share knowledge, learn from one another, value different perspectives, and contribute wherever help is needed. Flexible working. We support a highly flexible, hybrid working model. A sustainable pace. Work-life balance matters to us, and we back it with wellbeing benefits and a focus on long-term performance. An inclusive culture. We aim to create a positive, collaborative environment and support our people and local communities through wellbeing, diversity and inclusion programmes. With offices in London, New York, Barcelona, Montreal and Manila , Adaptive brings together a global team that shares one focus: building better financial technology. WHAT PEOPLE THINK OF US You can check our Glassdoor page BENEFITS (What we offer in return what you'll get) We create benefits with YOU in mind. Flexible hybrid working model Medical from the 1st of month following your start date (i.e. if you join on the 24th of July, it starts on the 1st of August). We have 6 Aetna plans to choose from as provided by our PEO, Justworks. We make a flat monthly contribution to your healthcare costs. Dental and vision from the 1st of the month following your start date - we have 3 dental and 2 vision plans to choose from. We make fixed contributions to each. 23 days of vacation per calendar year plus 11 public holidays Group disability insurance: short-term and long-term (60% and taxable) 401K safe harbor plan where we match contributions up to 5% of base pay on a paycheck-to-paycheck basis (you can opt-in after 90 days of service) Gym subsidy of up to $50 per month (and we pay the taxes on that so it's a real $50) post probation. Life insurance at 2 x salary Commuter benefits Health Savings Account and Flexible Spending Account Actual starting base pay will be determined on skills, experience, and other non-discriminatory factors permitted by law. The Salary range for this position is $240,000 - $300,000 THE PROCESS Long interview processes are stressful and boring and that is not us We want to make sure that everything runs smoothly. So here you will have three stage interviews: 1- A chat with one of our great recruiters. 2- A zoom chat with one of our Java colleagues where they will ask you detailed questions about Java knowledge and your experience. 3- A Face to Face interview (either in our office or via Zoom). During this interview, we will dig even deeper, and you will have a technical task to do. You will also have a chat with our local director. Here is a little tip for you during those stages: Collaboration is massively important to us, so don't hesitate to share your thoughts, ask questions, ask for help if needed, etc :) DIVERSITY & INCLUSION: Diversity and inclusion are key to a great workplace, and Adaptive is better when it's more representative of the world around us. We want everyone to feel comfortable bringing their whole selves to work without any fear of judgment or negativity. All we ask is that our colleagues are respectful, collaborative, passionate about what they do, and have the skills needed to be successful in their roles. Background check: the employment/engagement is subject to an acceptable background check that will be run by Adaptive Adaptive Financial Consulting Inc. makes use of E-Verify to validate someone's right to work in the US. We will provide the Social Security Administration, and, if necessary, the Department of Homeland Security, with information from each new employee's Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants. E-Verify Adaptive uses E-Verify to confirm the employment eligibility of a new hire after they they have completed their I9. E-Verify is not used to pre-screen an applicant for employment, nor is it used to discriminate against applicants on any basis.Base pay will be determined on an individualized basis and is only part of the total compensation package. Pay is based on candidate skills and experience.New York pay range$240,000-$300,000 USD
Job Description Lead Machine Learning Engineer - Medical Imaging Holobeam Technologies Bethpage, Long Island, NY Holobeam Technologies is developing advanced medical imaging technologies at the intersection of machine learning, computer vision, image processing, and 3D medical imaging. We are looking for a Lead Machine Learning Engineer - Medical Imaging to lead a small ML research team developing novel imaging technologies. This is a hands-on technical leadership role. We need someone who can set research direction, design experiments, develop and train models, mentor engineers, investigate failures, and help move successful research toward clinical and regulatory-ready products. What You'll Do Lead ML research and mentor a small team while remaining actively involved in coding, training, and experimentation. Develop and evaluate methods involving 2D/3D medical imaging, reconstruction, image analysis, and generative imaging. Work with medical imaging datasets including X-ray, CT, DICOM, annotations, masks, and volumetric data. Translate promising research papers into working implementations and controlled experiments. Design validation methods that distinguish clinically supported information from visually plausible model output. Address data quality, registration error, hallucination, domain shift, uncertainty, and other model failure modes. Build reproducible preprocessing, training, inference, and evaluation pipelines. Help move successful research toward production, clinical validation, and regulatory submission. What We're Looking For 6+ years of applied ML/computer-vision experience. Advanced Python and PyTorch skills. Strong hands-on experience developing and training deep-learning models. Experience with medical imaging or closely related scientific imaging. Experience with CT, X-ray, CBCT, MRI, PET/SPECT, ultrasound, or other volumetric imaging. Strong understanding of 2D/3D computer vision, experimental design, dataset partitioning, validation, and error analysis. Demonstrated ability to take an open-ended research problem from literature hypothesis implementation experimentation failure analysis improvement. Experience leading or mentoring ML engineers/researchers. Particularly Valuable Experience with several of the following would be especially relevant: CT reconstruction or inverse problems Diffusion models and other generative AI Medical-image registration DICOM pipelines CUDA/multi-GPU training Multi-site/scanner validation Published medical-imaging research or patents Production medical software FDA 510(k), SaMD, design controls, IEC 62304, or medical-device V&V The Person We're Looking For We are not looking for a manager who has stopped being technical. The right person should be equally comfortable saying: "Here is the research direction our team should pursue." and: "Here is why this model failed and the experiment we should run next." Medical imaging also requires more than producing visually impressive results. We want someone who thinks carefully about what information is actually supported by the input data, what is being inferred by the model, how uncertainty should be handled, and how anatomical and clinical fidelity can be validated. A PhD in computer science, electrical engineering, biomedical engineering, medical physics, imaging science, applied mathematics, or a related field is highly desirable, but demonstrated research accomplishments and technical depth matter more than the credential itself. Salary Range : $165K - $210K Location: Bethpage, Long Island, New York We offer competitive salaries commensurate with experience, plus extremely generous health care plan, as well as 401K and stock options. Hybird partial onsite may be possible for exceptional candidates Email: with any questions.
10/25/2026
Full time
Job Description Lead Machine Learning Engineer - Medical Imaging Holobeam Technologies Bethpage, Long Island, NY Holobeam Technologies is developing advanced medical imaging technologies at the intersection of machine learning, computer vision, image processing, and 3D medical imaging. We are looking for a Lead Machine Learning Engineer - Medical Imaging to lead a small ML research team developing novel imaging technologies. This is a hands-on technical leadership role. We need someone who can set research direction, design experiments, develop and train models, mentor engineers, investigate failures, and help move successful research toward clinical and regulatory-ready products. What You'll Do Lead ML research and mentor a small team while remaining actively involved in coding, training, and experimentation. Develop and evaluate methods involving 2D/3D medical imaging, reconstruction, image analysis, and generative imaging. Work with medical imaging datasets including X-ray, CT, DICOM, annotations, masks, and volumetric data. Translate promising research papers into working implementations and controlled experiments. Design validation methods that distinguish clinically supported information from visually plausible model output. Address data quality, registration error, hallucination, domain shift, uncertainty, and other model failure modes. Build reproducible preprocessing, training, inference, and evaluation pipelines. Help move successful research toward production, clinical validation, and regulatory submission. What We're Looking For 6+ years of applied ML/computer-vision experience. Advanced Python and PyTorch skills. Strong hands-on experience developing and training deep-learning models. Experience with medical imaging or closely related scientific imaging. Experience with CT, X-ray, CBCT, MRI, PET/SPECT, ultrasound, or other volumetric imaging. Strong understanding of 2D/3D computer vision, experimental design, dataset partitioning, validation, and error analysis. Demonstrated ability to take an open-ended research problem from literature hypothesis implementation experimentation failure analysis improvement. Experience leading or mentoring ML engineers/researchers. Particularly Valuable Experience with several of the following would be especially relevant: CT reconstruction or inverse problems Diffusion models and other generative AI Medical-image registration DICOM pipelines CUDA/multi-GPU training Multi-site/scanner validation Published medical-imaging research or patents Production medical software FDA 510(k), SaMD, design controls, IEC 62304, or medical-device V&V The Person We're Looking For We are not looking for a manager who has stopped being technical. The right person should be equally comfortable saying: "Here is the research direction our team should pursue." and: "Here is why this model failed and the experiment we should run next." Medical imaging also requires more than producing visually impressive results. We want someone who thinks carefully about what information is actually supported by the input data, what is being inferred by the model, how uncertainty should be handled, and how anatomical and clinical fidelity can be validated. A PhD in computer science, electrical engineering, biomedical engineering, medical physics, imaging science, applied mathematics, or a related field is highly desirable, but demonstrated research accomplishments and technical depth matter more than the credential itself. Salary Range : $165K - $210K Location: Bethpage, Long Island, New York We offer competitive salaries commensurate with experience, plus extremely generous health care plan, as well as 401K and stock options. Hybird partial onsite may be possible for exceptional candidates Email: with any questions.
Job Description Job Description Ready to make connectivity from space universally accessible, secure and actionable? Then you've come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We're intentional, we're unapologetically curious and we're 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. The E-Space Manufacturing team builds the world's most advanced aerospace products at high rate and high precision. As a Senior Mechanical Systems Designer, you'll design the mechanical systems that make E-Space's automated production lines run - fixtures, frames, motion assemblies, and the hardware that ties automation together. You'll work hands-on in SolidWorks alongside a Staff designer and the broader manufacturing team, owning subsystems end-to-end and bringing them from concept to qualified production hardware. This position reports to the Manufacturing Engineering leadership team. What you'll be doing: Design mechanical systems and subsystems for automated manufacturing equipment in SolidWorks - parts, assemblies, and production drawings. Develop fixtures, frames, motion stages, and machine structures to meet performance, precision, and cost targets. Apply GD&T and tolerance analysis to ensure manufacturability and reliable assembly. Collaborate with controls, robotics, and process engineers to integrate automation hardware. Create build documentation and support fabrication, assembly, and testing of your designs. Iterate from 3D-printed and machined prototypes to production-ready hardware. Specify mechanical components and interface with vendors. What you will bring to this role: 5+ years of hands-on mechanical design experience in machinery, automation, or aerospace hardware. Strong SolidWorks skills - assemblies, detailed parts, and drawings. Solid grasp of GD&T, tolerance stack-ups, and design for manufacturability. Experience taking designs through fabrication, assembly, and test. Ability to work across disciplines in a fast-paced manufacturing environment. BS in Mechanical Engineering or equivalent experience. Extra points for the following: Exposure to end-effector / EOAT design. Experience with ABB or Fanuc robotic integration. Background in aerospace, semiconductor, or thin-film manufacturing. This is a full time, exempt position, based out of our Arlington, TX facility. We are redefining how satellites are designed, manufactured and used - so we're looking for candidates with passion, deep knowledge and direct experience. If that's your experience, then we'll be immediately wow-ed. Why E-Space is right for you: As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry. We want you to make the most of your journey at E-Space. That's why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space: An opportunity to really make a difference Sustainability at our core Fair and honest workplace Innovative thinking is encouraged Competitive salaries Continuous learning and development Health and wellness care options Financial solutions for the future Optional legal services (US only) Paid holidays Paid time off We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
10/24/2026
Full time
Job Description Job Description Ready to make connectivity from space universally accessible, secure and actionable? Then you've come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We're intentional, we're unapologetically curious and we're 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. The E-Space Manufacturing team builds the world's most advanced aerospace products at high rate and high precision. As a Senior Mechanical Systems Designer, you'll design the mechanical systems that make E-Space's automated production lines run - fixtures, frames, motion assemblies, and the hardware that ties automation together. You'll work hands-on in SolidWorks alongside a Staff designer and the broader manufacturing team, owning subsystems end-to-end and bringing them from concept to qualified production hardware. This position reports to the Manufacturing Engineering leadership team. What you'll be doing: Design mechanical systems and subsystems for automated manufacturing equipment in SolidWorks - parts, assemblies, and production drawings. Develop fixtures, frames, motion stages, and machine structures to meet performance, precision, and cost targets. Apply GD&T and tolerance analysis to ensure manufacturability and reliable assembly. Collaborate with controls, robotics, and process engineers to integrate automation hardware. Create build documentation and support fabrication, assembly, and testing of your designs. Iterate from 3D-printed and machined prototypes to production-ready hardware. Specify mechanical components and interface with vendors. What you will bring to this role: 5+ years of hands-on mechanical design experience in machinery, automation, or aerospace hardware. Strong SolidWorks skills - assemblies, detailed parts, and drawings. Solid grasp of GD&T, tolerance stack-ups, and design for manufacturability. Experience taking designs through fabrication, assembly, and test. Ability to work across disciplines in a fast-paced manufacturing environment. BS in Mechanical Engineering or equivalent experience. Extra points for the following: Exposure to end-effector / EOAT design. Experience with ABB or Fanuc robotic integration. Background in aerospace, semiconductor, or thin-film manufacturing. This is a full time, exempt position, based out of our Arlington, TX facility. We are redefining how satellites are designed, manufactured and used - so we're looking for candidates with passion, deep knowledge and direct experience. If that's your experience, then we'll be immediately wow-ed. Why E-Space is right for you: As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry. We want you to make the most of your journey at E-Space. That's why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space: An opportunity to really make a difference Sustainability at our core Fair and honest workplace Innovative thinking is encouraged Competitive salaries Continuous learning and development Health and wellness care options Financial solutions for the future Optional legal services (US only) Paid holidays Paid time off We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description SarelaTech is seeking a Senior AIOps Engineer to support critical mission operations within a secure environment and lead the transformation of our IT Service Management (ITSM) capabilities. This role is responsible for the design, deployment, and management of AIOps solutions that enhance the reliability and security of Department of War (DoW) networks and systems. Acting as the technical lead for this initiative, you will orchestrate integrations across existing Network Engineering, ServiceNow, and SolarWinds teams.You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and predictive analytics and establish closed-loop automated incident response, ensuring the high availability of mission-essential infrastructure. Primary Responsibilities Cross-Functional Leadership: Lead the AIOps platform initiative by acting as the primary technical liaison to existing Network Engineering, ServiceNow, and SolarWinds administration teams to establish unified telemetry pipelines. ITSM Orchestration & Automation: Architect closed-loop remediation workflows by deeply integrating Splunk ITSI alerts with ServiceNow Event Management and Incident Management modules. Mission-Critical Observability: Architect and maintain Splunk AIOps solutions across unclassified and classified enclaves to provide real-time situational awareness. Infrastructure Telemetry Integration: Normalize and correlate network performance and fault data from SolarWinds with server and application logs to provide a holistic view of enterprise health. Advanced ML Development: Deploy custom machine learning models via Splunk MLTK to identify anomalous behavior, potential cyber threats, and infrastructure degradations. Secure Data Integration: Engineer secure data ingestion pipelines for telemetry data from cross-domain solutions and tactical edge devices. Incident Reduction: Utilize IT Service Intelligence (ITSI) to correlate multi-source events, reducing noise and prioritizing high-impact mission alerts. Cyber Defense Support: Collaborate with the Cyber Security Service Provider (CSSP) to integrate AIOps insights into defensive cyber operations (DCO). Compliance & Documentation: Ensure all observability tools comply with DoW STIGs and IL5/IL6 protocols; develop and maintain architectural documentation and compliance traceability. Mission Alignment: Stay current on AIOps and related capabilities relevant to DoD, federal, and intelligence mission systems. Required Qualifications: Security Clearance: Active Top Secret / Sensitive Compartmented Information (TS/SCI) required at time of hire. Certification: Active IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP) required. Citizenship: United States Citizenship is required. Platform Experience: 7+ years of experience with Splunk Enterprise, including architectural design, cluster management, and advanced Search Processing Language (SPL). AIOps & ITSM: 3+ years of experience implementing AIOps workflows, including integration with enterprise ITSM solutions (ServiceNow) for automated root cause analysis and remediation. Machine Learning: Proven track record of building, testing, and tuning supervised and unsupervised models within the Splunk MLTK. Scripting & Automation: Advanced scripting skills for developing custom search commands, API integrations, and automating remediation tasks (e.g., Python). Leadership: Experience leading technical working groups and directing the efforts of adjacent infrastructure and development teams. Operational Experience: Prior experience working within a DoW/DoD Operations Center (NOC/SOC) or supporting mission-critical systems and networks. Communication: Must be able to present designs, plans, and analyses of alternatives to technical leadership boards for approvals. Desired Qualifications: Enterprise Aggregation: Experience aggregating and correlating telemetry from diverse tools, specifically SolarWinds, ServiceNow, and VMware vCenter. Expert Certification: Splunk Enterprise Certified Architect or Splunk ITSI Certified Admin. Cloud Observability: Experience with Cloud Native Computing Foundation (CNCF) observability tools in secure hybrid multi-cloud environments (Azure/AWS). RMF/ATO Knowledge: Understanding of the Risk Management Framework (RMF) and the Authorization to Operate (ATO) process for AI/ML workloads.
10/24/2026
Full time
Job Description Job Description SarelaTech is seeking a Senior AIOps Engineer to support critical mission operations within a secure environment and lead the transformation of our IT Service Management (ITSM) capabilities. This role is responsible for the design, deployment, and management of AIOps solutions that enhance the reliability and security of Department of War (DoW) networks and systems. Acting as the technical lead for this initiative, you will orchestrate integrations across existing Network Engineering, ServiceNow, and SolarWinds teams.You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and predictive analytics and establish closed-loop automated incident response, ensuring the high availability of mission-essential infrastructure. Primary Responsibilities Cross-Functional Leadership: Lead the AIOps platform initiative by acting as the primary technical liaison to existing Network Engineering, ServiceNow, and SolarWinds administration teams to establish unified telemetry pipelines. ITSM Orchestration & Automation: Architect closed-loop remediation workflows by deeply integrating Splunk ITSI alerts with ServiceNow Event Management and Incident Management modules. Mission-Critical Observability: Architect and maintain Splunk AIOps solutions across unclassified and classified enclaves to provide real-time situational awareness. Infrastructure Telemetry Integration: Normalize and correlate network performance and fault data from SolarWinds with server and application logs to provide a holistic view of enterprise health. Advanced ML Development: Deploy custom machine learning models via Splunk MLTK to identify anomalous behavior, potential cyber threats, and infrastructure degradations. Secure Data Integration: Engineer secure data ingestion pipelines for telemetry data from cross-domain solutions and tactical edge devices. Incident Reduction: Utilize IT Service Intelligence (ITSI) to correlate multi-source events, reducing noise and prioritizing high-impact mission alerts. Cyber Defense Support: Collaborate with the Cyber Security Service Provider (CSSP) to integrate AIOps insights into defensive cyber operations (DCO). Compliance & Documentation: Ensure all observability tools comply with DoW STIGs and IL5/IL6 protocols; develop and maintain architectural documentation and compliance traceability. Mission Alignment: Stay current on AIOps and related capabilities relevant to DoD, federal, and intelligence mission systems. Required Qualifications: Security Clearance: Active Top Secret / Sensitive Compartmented Information (TS/SCI) required at time of hire. Certification: Active IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP) required. Citizenship: United States Citizenship is required. Platform Experience: 7+ years of experience with Splunk Enterprise, including architectural design, cluster management, and advanced Search Processing Language (SPL). AIOps & ITSM: 3+ years of experience implementing AIOps workflows, including integration with enterprise ITSM solutions (ServiceNow) for automated root cause analysis and remediation. Machine Learning: Proven track record of building, testing, and tuning supervised and unsupervised models within the Splunk MLTK. Scripting & Automation: Advanced scripting skills for developing custom search commands, API integrations, and automating remediation tasks (e.g., Python). Leadership: Experience leading technical working groups and directing the efforts of adjacent infrastructure and development teams. Operational Experience: Prior experience working within a DoW/DoD Operations Center (NOC/SOC) or supporting mission-critical systems and networks. Communication: Must be able to present designs, plans, and analyses of alternatives to technical leadership boards for approvals. Desired Qualifications: Enterprise Aggregation: Experience aggregating and correlating telemetry from diverse tools, specifically SolarWinds, ServiceNow, and VMware vCenter. Expert Certification: Splunk Enterprise Certified Architect or Splunk ITSI Certified Admin. Cloud Observability: Experience with Cloud Native Computing Foundation (CNCF) observability tools in secure hybrid multi-cloud environments (Azure/AWS). RMF/ATO Knowledge: Understanding of the Risk Management Framework (RMF) and the Authorization to Operate (ATO) process for AI/ML workloads.
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description This Data Platform Engineer will have the unique opportunity to apply cutting-edge data and analytics technologies to one of the most meaningful challenges in healthcare: ensuring the quality of medicines that improve and save lives. As a pivotal member of R&D Quality, this role will help transform how quality insights are generated, scaled, and acted upon across Gilead's drug development and clinical research programs. Through the development of robust data pipelines and advanced analytics platforms, the successful candidate will enable more proactive quality oversight, smarter decision-making, and continuous improvement, ultimately supporting Gilead's mission to deliver life-changing therapies to patients worldwide. The Data Platform Engineer will partner with the Quality Analytics & Insights team, a small, high-impact group responsible for advancing data and analytics capabilities across R&D Quality. This role will build and maintain the data infrastructure that supports Quality Performance and Quality Health analytics focused on signal detection, risk analytics, early identification of emerging issues, mitigation strategies, and continuous improvement. Working closely with analytics professionals, the engineer will transform analytical prototypes into scalable, production-ready solutions through robust data pipelines, cloud infrastructure, monitoring, and automation. The role will collaborate directly with Quality teams, IT, and global delivery teams to support key Quality System elements and programs, including Audit, Deviation, CAPA, Risk Management, Escalation/Serious Breach, and Quality Analytics, while helping define the technology roadmap for next-generation analytics and automation across the organization. Primary Responsibilities Data Engineering Technical Ownership: Operate as a self-directed contributor who scopes, plans, and drives initiatives end-to-end - translating ambiguous Quality problems into technical solutions, making sound architectural trade-offs, and delivering production outcomes with minimal oversight. Infrastructure & Environment Automation: Independently provision and manage cloud infrastructure using infrastructure-as-code and containerization, standing up reproducible, scalable environments for data processing, application deployment, and analytics with minimal reliance on external teams. Application Lifecycle Management: Develop and maintain pipelines to transition analytics applications and data products from development to production, including packaging, CI/CD, automated testing, and deployment. Support reliable delivery of Quality use cases such as signal detection, risk analytics, and Quality Performance/Quality Health analytics. Data Pipeline Development: Design robust batch and streaming data workflows; integrate, define, and manage data sets, lineage, and reuse across QMS data sources (e.g., Audit, Deviation, CAPA, Risk Management). Data Orchestration: Author and schedule reliable, observable workflows using orchestration tools and distributed processing, ensuring dependencies, retries, and SLAs are handled without manual intervention. Production Operations & Monitoring: Ensure the reliability and scalability of data pipelines and analytics applications; implement effective logging, tracing, and alerting. Establish monitoring for data quality, pipeline performance, and service health, paying particular attention to QMS data feeds, where low-frequency quality signals amplify the impact of anomalies. Collaboration & Enablement Cross-functional Partnership: Work closely with analytics professionals, Quality analysts, and stakeholders across R&D Quality programs (e.g., Audit, Deviation, CAPA, Risk Management, Escalation/Serious Breach). Provide frameworks, templates, and guardrails that accelerate analytics delivery. Testing & Validation: Demonstrate a strong focus on testing by setting up frameworks for data pipelines, analytics applications, and production code. Design validation pipelines with automated quality gates, including type checking, linting, integration tests, and contract tests. Documentation & Release Management: Develop clear, detailed guides, operational playbooks, and user instructions. Coordinate releases with IT and the global team; maintain runbooks, rollback strategies, and change tickets. Security & Compliance: Apply security, access-control, and data-governance best practices across pipelines and infrastructure, ensuring solutions meet the expectations of a validated, GxP-regulated environment. Innovation & Technical Strategy Technology Evaluation & Roadmap Input: Evaluate emerging data, cloud, and analytics tooling; prototype promising approaches and recommend adoption, contributing to the technical roadmap for next-generation Quality analytics and automation. Tech Stack Basic Programming & scripting: Python and SQL; scripting with Python, Bash, or PowerShell. Source control: Git and source control management. CI/CD & release management: Working knowledge of CI/CD tools and release management (e.g., GitHub Actions). Cloud platforms: Hands-on experience with a major cloud provider (AWS or Azure). Containers: Container technologies (Docker; Kubernetes). Data platform: Databricks. Preferred Cloud infrastructure / infrastructure-as-code: Terraform; broader cloud engineering experience (AWS preferred). Monitoring & logging: Datadog, Splunk, CloudWatch, or Prometheus. Infrastructure concepts: Understanding of networking, security, and infrastructure fundamentals. Basic Qualifications: Bachelor's Degree and Eight Years' Experience OR Masters' Degree and Six Years' Experience OR PhD / PharmD Preferred Qualifications: Degree in computer science, computer engineering, information systems, or a related discipline with relevant experience in data engineering, platform engineering, or data operations Significant hands-on experience operationalizing data and analytics solutions end-to-end, including data engineering, pipeline development, deployment, and production monitoring. Strong programming skills in key languages such as Python, SQL, Go, and TypeScript, with proven ability to manipulate large and complex datasets using distributed computing technologies. Familiarity with AWS cloud services. Strong troubleshooting and problem-solving skills. Excellent verbal and written communication skills, with the ability to present complex findings to both technical and non-technical audiences and a strong orientation toward teamwork in a fast-paced, regulated environment. Experience building, packaging, and maintaining data processing libraries and analytics applications in production. Experience with CI/CD, infrastructure-as-code, and cloud-based data platforms. Proficiency with Databricks distributed processing (Spark), data orchestration, and similar data and BI technologies. People Leader Accountabilities: Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams. Develop Talent - understand the skills, experience, aspirations and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving feedback and insight needed to grow, develop and realize their purpose. Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives, and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem The salary range for this position is: $157,590.00 - $203,940.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location . click apply for full job details
10/24/2026
Full time
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description This Data Platform Engineer will have the unique opportunity to apply cutting-edge data and analytics technologies to one of the most meaningful challenges in healthcare: ensuring the quality of medicines that improve and save lives. As a pivotal member of R&D Quality, this role will help transform how quality insights are generated, scaled, and acted upon across Gilead's drug development and clinical research programs. Through the development of robust data pipelines and advanced analytics platforms, the successful candidate will enable more proactive quality oversight, smarter decision-making, and continuous improvement, ultimately supporting Gilead's mission to deliver life-changing therapies to patients worldwide. The Data Platform Engineer will partner with the Quality Analytics & Insights team, a small, high-impact group responsible for advancing data and analytics capabilities across R&D Quality. This role will build and maintain the data infrastructure that supports Quality Performance and Quality Health analytics focused on signal detection, risk analytics, early identification of emerging issues, mitigation strategies, and continuous improvement. Working closely with analytics professionals, the engineer will transform analytical prototypes into scalable, production-ready solutions through robust data pipelines, cloud infrastructure, monitoring, and automation. The role will collaborate directly with Quality teams, IT, and global delivery teams to support key Quality System elements and programs, including Audit, Deviation, CAPA, Risk Management, Escalation/Serious Breach, and Quality Analytics, while helping define the technology roadmap for next-generation analytics and automation across the organization. Primary Responsibilities Data Engineering Technical Ownership: Operate as a self-directed contributor who scopes, plans, and drives initiatives end-to-end - translating ambiguous Quality problems into technical solutions, making sound architectural trade-offs, and delivering production outcomes with minimal oversight. Infrastructure & Environment Automation: Independently provision and manage cloud infrastructure using infrastructure-as-code and containerization, standing up reproducible, scalable environments for data processing, application deployment, and analytics with minimal reliance on external teams. Application Lifecycle Management: Develop and maintain pipelines to transition analytics applications and data products from development to production, including packaging, CI/CD, automated testing, and deployment. Support reliable delivery of Quality use cases such as signal detection, risk analytics, and Quality Performance/Quality Health analytics. Data Pipeline Development: Design robust batch and streaming data workflows; integrate, define, and manage data sets, lineage, and reuse across QMS data sources (e.g., Audit, Deviation, CAPA, Risk Management). Data Orchestration: Author and schedule reliable, observable workflows using orchestration tools and distributed processing, ensuring dependencies, retries, and SLAs are handled without manual intervention. Production Operations & Monitoring: Ensure the reliability and scalability of data pipelines and analytics applications; implement effective logging, tracing, and alerting. Establish monitoring for data quality, pipeline performance, and service health, paying particular attention to QMS data feeds, where low-frequency quality signals amplify the impact of anomalies. Collaboration & Enablement Cross-functional Partnership: Work closely with analytics professionals, Quality analysts, and stakeholders across R&D Quality programs (e.g., Audit, Deviation, CAPA, Risk Management, Escalation/Serious Breach). Provide frameworks, templates, and guardrails that accelerate analytics delivery. Testing & Validation: Demonstrate a strong focus on testing by setting up frameworks for data pipelines, analytics applications, and production code. Design validation pipelines with automated quality gates, including type checking, linting, integration tests, and contract tests. Documentation & Release Management: Develop clear, detailed guides, operational playbooks, and user instructions. Coordinate releases with IT and the global team; maintain runbooks, rollback strategies, and change tickets. Security & Compliance: Apply security, access-control, and data-governance best practices across pipelines and infrastructure, ensuring solutions meet the expectations of a validated, GxP-regulated environment. Innovation & Technical Strategy Technology Evaluation & Roadmap Input: Evaluate emerging data, cloud, and analytics tooling; prototype promising approaches and recommend adoption, contributing to the technical roadmap for next-generation Quality analytics and automation. Tech Stack Basic Programming & scripting: Python and SQL; scripting with Python, Bash, or PowerShell. Source control: Git and source control management. CI/CD & release management: Working knowledge of CI/CD tools and release management (e.g., GitHub Actions). Cloud platforms: Hands-on experience with a major cloud provider (AWS or Azure). Containers: Container technologies (Docker; Kubernetes). Data platform: Databricks. Preferred Cloud infrastructure / infrastructure-as-code: Terraform; broader cloud engineering experience (AWS preferred). Monitoring & logging: Datadog, Splunk, CloudWatch, or Prometheus. Infrastructure concepts: Understanding of networking, security, and infrastructure fundamentals. Basic Qualifications: Bachelor's Degree and Eight Years' Experience OR Masters' Degree and Six Years' Experience OR PhD / PharmD Preferred Qualifications: Degree in computer science, computer engineering, information systems, or a related discipline with relevant experience in data engineering, platform engineering, or data operations Significant hands-on experience operationalizing data and analytics solutions end-to-end, including data engineering, pipeline development, deployment, and production monitoring. Strong programming skills in key languages such as Python, SQL, Go, and TypeScript, with proven ability to manipulate large and complex datasets using distributed computing technologies. Familiarity with AWS cloud services. Strong troubleshooting and problem-solving skills. Excellent verbal and written communication skills, with the ability to present complex findings to both technical and non-technical audiences and a strong orientation toward teamwork in a fast-paced, regulated environment. Experience building, packaging, and maintaining data processing libraries and analytics applications in production. Experience with CI/CD, infrastructure-as-code, and cloud-based data platforms. Proficiency with Databricks distributed processing (Spark), data orchestration, and similar data and BI technologies. People Leader Accountabilities: Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams. Develop Talent - understand the skills, experience, aspirations and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving feedback and insight needed to grow, develop and realize their purpose. Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives, and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem The salary range for this position is: $157,590.00 - $203,940.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location . click apply for full job details
Overview Senior DevSecOps & Platform Engineer (CORPIT) Bowhead is seeking a highly skilled Senior DevSecOps & Platform Engineer to support the Naval Surface Warfare Center Dahlgren Division (NSWCDD) Research, Development, Test & Evaluation (RDT&E) environment. The successful candidate will possess a diverse technical background encompassing DevSecOps architecture, platform engineering, full-stack application development, cybersecurity compliance, and emerging Artificial Intelligence/Machine Learning (AI/ML) technologies. This position requires a versatile technical professional capable of designing, developing, deploying, securing, and maintaining enterprise applications and infrastructure across complex computing environments. The individual will play a critical role in integrating modern development practices, automating infrastructure and deployment processes, ensuring compliance with Department of Defense (DoD) cybersecurity requirements, and supporting innovative AI-enabled capabilities. The ideal candidate will demonstrate strong technical proficiency, analytical problem-solving skills, and the ability to collaborate with government stakeholders, software developers, cybersecurity personnel, and infrastructure engineering teams. Responsibilities DevSecOps Architecture and Platform Engineering Design, implement, and maintain secure, scalable DevSecOps platforms supporting enterprise application development and deployment. Develop, manage, and optimize Continuous Integration/Continuous Deployment (CI/CD) pipelines using GitLab. Support containerized application environments utilizing Docker and Kubernetes. Administer and troubleshoot Linux and Windows operating environments. Support virtualized infrastructure utilizing VMware vSphere. Integrate artifact repositories, development tools, and collaborative platforms, including Artifactory, Jira, and Confluence. Identify opportunities to automate infrastructure management, application deployments, and operational workflows. Full-Stack Application Development Develop, maintain, and enhance software applications using Python and JavaScript. Support application integration across multiple platforms, databases, and enterprise systems. Develop and maintain database connectivity and application functionality utilizing Microsoft SQL Server, Oracle SQL, MySQL, and MariaDB. Collaborate with development teams to improve application performance, reliability, scalability, and security. Incorporate automated testing, code validation, and secure software development practices throughout the application lifecycle. Troubleshoot complex application, infrastructure, and integration issues. Cybersecurity and Compliance Integrate cybersecurity requirements and secure development practices throughout the software development lifecycle. Implement and validate Security Technical Implementation Guides (STIGs) across applicable systems and applications. Support vulnerability identification, assessment, tracking, and remediation using Assured Compliance Assessment Solution (ACAS), SCAP, McAfee security tools, and related technologies. Implement static code analysis and vulnerability scanning tools, including Xray, within development pipelines. Collaborate with cybersecurity professionals to address identified vulnerabilities and maintain compliance with applicable DoD security requirements. Support security assessments, audit preparation, remediation activities, and continuous monitoring efforts. Promote security automation and continuous compliance throughout the development and deployment process. Artificial Intelligence and Machine Learning Integration Support the evaluation and integration of AI/ML technologies into enterprise development and operational environments. Develop and implement agentic workflows and AI-enabled automation capabilities. Work with Large Language Models (LLMs) and agentic harnesses to support intelligent workflow orchestration and process improvement. Evaluate opportunities to leverage AI technologies to enhance software development, troubleshooting, cybersecurity operations, and organizational efficiency. Collaborate with technical stakeholders to assess the feasibility, security, and operational value of emerging AI capabilities. Technical Collaboration and Customer Support Serve as a technical subject matter expert across DevSecOps, application development, platform engineering, and cybersecurity disciplines. Collaborate with government customers and multidisciplinary technical teams to identify requirements and develop effective solutions. Provide technical recommendations concerning system architecture, application deployment, security improvements, and infrastructure modernization. Develop and maintain technical documentation, standard operating procedures, and configuration records. Investigate and resolve complex technical challenges while maintaining customer communication and operational continuity. Qualifications Seven to ten (7-10) years of experience. BA/BS degree required. Must have an IAT level III certificaiton. Demonstrated professional experience in DevSecOps engineering, platform engineering, software development, or closely related technical disciplines. Working knowledge of Linux and Windows operating systems. Experience with containerization and orchestration technologies, including Docker and Kubernetes. Experience supporting virtualized infrastructure using VMware vSphere. Hands-on experience developing and maintaining GitLab CI/CD pipelines. Familiarity with Artifactory, Jira, and Confluence. Programming experience using Python and JavaScript. Experience working with relational databases, including one or more of the following: Microsoft SQL Server, Oracle SQL, MySQL, or MariaDB. Understanding of cybersecurity principles, vulnerability management, and secure software development practices. Experience with cybersecurity compliance tools and processes, including STIGs, ACAS, SCAP, static code analysis, or comparable technologies. Strong troubleshooting and root-cause analysis capabilities across applications, infrastructure, and development environments. Ability to communicate technical information effectively to engineering teams, program leadership, and government stakeholders. Ability to work independently and collaboratively within a multidisciplinary technical environment. Preferred Qualifications Experience designing and implementing enterprise DevSecOps architectures. Advanced Kubernetes administration, configuration, and troubleshooting experience. Experience integrating automated security scanning and vulnerability management into CI/CD pipelines. Familiarity with DoD cybersecurity compliance requirements and Risk Management Framework (RMF) processes. Experience supporting DoD RDT&E or similarly complex federal IT environments. Experience developing full-stack applications and integrating enterprise database systems. Knowledge of AI/ML technologies, Large Language Models, agentic harnesses, and agentic workflows. Experience implementing AI-enabled automation within secure enterprise environments. Experience supporting platform modernization, infrastructure automation, and continuous compliance initiatives. Relevant industry certifications in DevSecOps, cloud technologies, Kubernetes, software engineering, or cybersecurity. Desired Professional Attributes Demonstrates adaptability across multiple technical disciplines and rapidly evolving technologies. Possesses strong analytical skills and an innovative approach to problem-solving. Maintains a security-focused mindset throughout development and operational activities. Demonstrates initiative in identifying opportunities for automation and process improvement. Effectively balances software development, infrastructure operations, and cybersecurity requirements. Builds productive relationships with customers and technical stakeholders. Demonstrates attention to detail, accountability, and a commitment to mission success. Targeted salary range is $175,000 to $195,000 annually based on qualifications and experience. Physical Demands: Must be able to lift up to 25 pounds Must be able to stand and walk for prolonged amounts of time Must be able to twist, bend and squat periodically SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Top Secret/SCI level. US Citizenship is a requirement for Top Secret/SCI clearance at this location. Please note that the salary information is a general guideline only. Bowhead considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.
10/24/2026
Full time
Overview Senior DevSecOps & Platform Engineer (CORPIT) Bowhead is seeking a highly skilled Senior DevSecOps & Platform Engineer to support the Naval Surface Warfare Center Dahlgren Division (NSWCDD) Research, Development, Test & Evaluation (RDT&E) environment. The successful candidate will possess a diverse technical background encompassing DevSecOps architecture, platform engineering, full-stack application development, cybersecurity compliance, and emerging Artificial Intelligence/Machine Learning (AI/ML) technologies. This position requires a versatile technical professional capable of designing, developing, deploying, securing, and maintaining enterprise applications and infrastructure across complex computing environments. The individual will play a critical role in integrating modern development practices, automating infrastructure and deployment processes, ensuring compliance with Department of Defense (DoD) cybersecurity requirements, and supporting innovative AI-enabled capabilities. The ideal candidate will demonstrate strong technical proficiency, analytical problem-solving skills, and the ability to collaborate with government stakeholders, software developers, cybersecurity personnel, and infrastructure engineering teams. Responsibilities DevSecOps Architecture and Platform Engineering Design, implement, and maintain secure, scalable DevSecOps platforms supporting enterprise application development and deployment. Develop, manage, and optimize Continuous Integration/Continuous Deployment (CI/CD) pipelines using GitLab. Support containerized application environments utilizing Docker and Kubernetes. Administer and troubleshoot Linux and Windows operating environments. Support virtualized infrastructure utilizing VMware vSphere. Integrate artifact repositories, development tools, and collaborative platforms, including Artifactory, Jira, and Confluence. Identify opportunities to automate infrastructure management, application deployments, and operational workflows. Full-Stack Application Development Develop, maintain, and enhance software applications using Python and JavaScript. Support application integration across multiple platforms, databases, and enterprise systems. Develop and maintain database connectivity and application functionality utilizing Microsoft SQL Server, Oracle SQL, MySQL, and MariaDB. Collaborate with development teams to improve application performance, reliability, scalability, and security. Incorporate automated testing, code validation, and secure software development practices throughout the application lifecycle. Troubleshoot complex application, infrastructure, and integration issues. Cybersecurity and Compliance Integrate cybersecurity requirements and secure development practices throughout the software development lifecycle. Implement and validate Security Technical Implementation Guides (STIGs) across applicable systems and applications. Support vulnerability identification, assessment, tracking, and remediation using Assured Compliance Assessment Solution (ACAS), SCAP, McAfee security tools, and related technologies. Implement static code analysis and vulnerability scanning tools, including Xray, within development pipelines. Collaborate with cybersecurity professionals to address identified vulnerabilities and maintain compliance with applicable DoD security requirements. Support security assessments, audit preparation, remediation activities, and continuous monitoring efforts. Promote security automation and continuous compliance throughout the development and deployment process. Artificial Intelligence and Machine Learning Integration Support the evaluation and integration of AI/ML technologies into enterprise development and operational environments. Develop and implement agentic workflows and AI-enabled automation capabilities. Work with Large Language Models (LLMs) and agentic harnesses to support intelligent workflow orchestration and process improvement. Evaluate opportunities to leverage AI technologies to enhance software development, troubleshooting, cybersecurity operations, and organizational efficiency. Collaborate with technical stakeholders to assess the feasibility, security, and operational value of emerging AI capabilities. Technical Collaboration and Customer Support Serve as a technical subject matter expert across DevSecOps, application development, platform engineering, and cybersecurity disciplines. Collaborate with government customers and multidisciplinary technical teams to identify requirements and develop effective solutions. Provide technical recommendations concerning system architecture, application deployment, security improvements, and infrastructure modernization. Develop and maintain technical documentation, standard operating procedures, and configuration records. Investigate and resolve complex technical challenges while maintaining customer communication and operational continuity. Qualifications Seven to ten (7-10) years of experience. BA/BS degree required. Must have an IAT level III certificaiton. Demonstrated professional experience in DevSecOps engineering, platform engineering, software development, or closely related technical disciplines. Working knowledge of Linux and Windows operating systems. Experience with containerization and orchestration technologies, including Docker and Kubernetes. Experience supporting virtualized infrastructure using VMware vSphere. Hands-on experience developing and maintaining GitLab CI/CD pipelines. Familiarity with Artifactory, Jira, and Confluence. Programming experience using Python and JavaScript. Experience working with relational databases, including one or more of the following: Microsoft SQL Server, Oracle SQL, MySQL, or MariaDB. Understanding of cybersecurity principles, vulnerability management, and secure software development practices. Experience with cybersecurity compliance tools and processes, including STIGs, ACAS, SCAP, static code analysis, or comparable technologies. Strong troubleshooting and root-cause analysis capabilities across applications, infrastructure, and development environments. Ability to communicate technical information effectively to engineering teams, program leadership, and government stakeholders. Ability to work independently and collaboratively within a multidisciplinary technical environment. Preferred Qualifications Experience designing and implementing enterprise DevSecOps architectures. Advanced Kubernetes administration, configuration, and troubleshooting experience. Experience integrating automated security scanning and vulnerability management into CI/CD pipelines. Familiarity with DoD cybersecurity compliance requirements and Risk Management Framework (RMF) processes. Experience supporting DoD RDT&E or similarly complex federal IT environments. Experience developing full-stack applications and integrating enterprise database systems. Knowledge of AI/ML technologies, Large Language Models, agentic harnesses, and agentic workflows. Experience implementing AI-enabled automation within secure enterprise environments. Experience supporting platform modernization, infrastructure automation, and continuous compliance initiatives. Relevant industry certifications in DevSecOps, cloud technologies, Kubernetes, software engineering, or cybersecurity. Desired Professional Attributes Demonstrates adaptability across multiple technical disciplines and rapidly evolving technologies. Possesses strong analytical skills and an innovative approach to problem-solving. Maintains a security-focused mindset throughout development and operational activities. Demonstrates initiative in identifying opportunities for automation and process improvement. Effectively balances software development, infrastructure operations, and cybersecurity requirements. Builds productive relationships with customers and technical stakeholders. Demonstrates attention to detail, accountability, and a commitment to mission success. Targeted salary range is $175,000 to $195,000 annually based on qualifications and experience. Physical Demands: Must be able to lift up to 25 pounds Must be able to stand and walk for prolonged amounts of time Must be able to twist, bend and squat periodically SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Top Secret/SCI level. US Citizenship is a requirement for Top Secret/SCI clearance at this location. Please note that the salary information is a general guideline only. Bowhead considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Technical Lead to join our growing AI and Automation practice. In this role, you will design and lead the development of cutting-edge AI solutions that drive real-world impact across federal programs. You will guide cross-functional teams, shape technical strategy, and mentor engineers in a fast-paced, mission-driven environment. The ideal candidate is a hands-on leader with a strong background in AI/ML development, cloud platforms, and enterprise-scale systems design. Responsibilities include, but are not limited to: Lead the design, development, and deployment of scalable AI and ML models and systems Translate business requirements into technical solutions across multiple federal missions Oversee the AI/ML development lifecycle, including architecture design, experimentation, and performance optimization Collaborate with cross-functional teams (DevOps, Data Engineering, Cybersecurity) to integrate AI into production environments Provide technical mentorship and conduct code/design reviews for junior and mid-level engineers Research and evaluate emerging AI/ML tools, technologies, and frameworks to drive innovation Ensure all solutions meet federal security, compliance, and cloud architecture standards Requirements Master's degree in AI, Machine Learning, or a related field Minimum of 5+ years of hands-on experience in AI/ML solution development Demonstrated experience leading AI/ML initiatives or technical teams Strong understanding of agentic AI including Transformers, Model Context Protocol, Agent2Agent Protocol, LangGraph, and other modern frameworks. Proficiency in Python and Typescript for application development and advanced scripting, Experience deploying AI solutions in AWS, Azure, or GCP environments Familiarity withCI/CD, containerization (Docker, Kubernetes), and DevOps principles Experience with Agile methodologies and tools (e.g., Git, Jira) Must be a U.S. Citizen and eligible to obtain a DoD Secret clearance Preferred Qualifications Strong understanding of data engineering and data modeling concepts Experience with data visualization tools such as Power BI or Tableau Knowledge of cybersecurity principles, Zero Trust Architecture, RMF and FedRAMP compliance Prior experience with federal or public sector digital modernization projects Familiarity with Lean Six Sigma, ITIL, or service-oriented architecture (SOA) frameworks Salary Range: $185,000 - $215,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development
10/24/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Technical Lead to join our growing AI and Automation practice. In this role, you will design and lead the development of cutting-edge AI solutions that drive real-world impact across federal programs. You will guide cross-functional teams, shape technical strategy, and mentor engineers in a fast-paced, mission-driven environment. The ideal candidate is a hands-on leader with a strong background in AI/ML development, cloud platforms, and enterprise-scale systems design. Responsibilities include, but are not limited to: Lead the design, development, and deployment of scalable AI and ML models and systems Translate business requirements into technical solutions across multiple federal missions Oversee the AI/ML development lifecycle, including architecture design, experimentation, and performance optimization Collaborate with cross-functional teams (DevOps, Data Engineering, Cybersecurity) to integrate AI into production environments Provide technical mentorship and conduct code/design reviews for junior and mid-level engineers Research and evaluate emerging AI/ML tools, technologies, and frameworks to drive innovation Ensure all solutions meet federal security, compliance, and cloud architecture standards Requirements Master's degree in AI, Machine Learning, or a related field Minimum of 5+ years of hands-on experience in AI/ML solution development Demonstrated experience leading AI/ML initiatives or technical teams Strong understanding of agentic AI including Transformers, Model Context Protocol, Agent2Agent Protocol, LangGraph, and other modern frameworks. Proficiency in Python and Typescript for application development and advanced scripting, Experience deploying AI solutions in AWS, Azure, or GCP environments Familiarity withCI/CD, containerization (Docker, Kubernetes), and DevOps principles Experience with Agile methodologies and tools (e.g., Git, Jira) Must be a U.S. Citizen and eligible to obtain a DoD Secret clearance Preferred Qualifications Strong understanding of data engineering and data modeling concepts Experience with data visualization tools such as Power BI or Tableau Knowledge of cybersecurity principles, Zero Trust Architecture, RMF and FedRAMP compliance Prior experience with federal or public sector digital modernization projects Familiarity with Lean Six Sigma, ITIL, or service-oriented architecture (SOA) frameworks Salary Range: $185,000 - $215,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development
