Job Description Job Description About Ayo We are a venture-backed early-stage startup developing processors specialized for machine learning. The processor will provide orders or magnitude improvement in speed and power efficiency with a goal of unseating the GPU as the dominant computing platform for AI. The Role We are seeking a deep AI practitioner to join as a founding team member - someone with hands-on experience working on or alongside a foundation model at scale, who understands what happens under the hood when splitting jobs across thousands of GPUs, and who is excited to bring that depth to novel hardware. They have a full-stack understanding of machine learning architectures, love to optimize algorithms across disciplinary boundaries, and will deploy and train models directly on our prototype chips to help us prove out what our processor can do - no prior hardware experience required. What You'll Do: Deploy and run trained models on prototype hardware and digital twins, producing working demonstrations on our chips. Develop and adapt algorithms to train models on novel processing environments, including our prototype hardware. Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation. Maintain a deep curiosity about what makes AI systems work - and bring that curiosity to bear on how they run on new hardware. Support go-to-market strategy development What We're Looking For: PhD in machine learning, representation learning, theory of computation, or a related field - or equivalent industry experience working on foundation models at scale. Experience training models at scale - distributed training across many GPUs, working with large datasets and compute. Has built and trained neural networks from scratch Deep knowledge of the structure and internal operation of neural networks - including how and why they behave the way they do (e.g. interpretability or explainability work is a plus). Excitement about applying deep AI expertise to new and novel hardware environments - you don't need prior experience with photonics or silicon, but you want to learn. Fluent knowledge of Python Fluency in PyTorch (preferred), TensorFlow, JAX, or other industry-standard ML software libraries Why Ayo You'll be a founding AI team member - shaping how we think about and deploy AI as a company. We are working on a genuinely hard and interesting problem: unseating the GPU as the dominant AI compute platform. Early-stage means real ownership, real impact, and meaningful equity. Competitive salary. Equity commensurate with stage and seniority. Benefits package including health, dental, and vision. Fully onsite in Boston - we are a collaborative, in-person team.
09/10/2026
Full time
Job Description Job Description About Ayo We are a venture-backed early-stage startup developing processors specialized for machine learning. The processor will provide orders or magnitude improvement in speed and power efficiency with a goal of unseating the GPU as the dominant computing platform for AI. The Role We are seeking a deep AI practitioner to join as a founding team member - someone with hands-on experience working on or alongside a foundation model at scale, who understands what happens under the hood when splitting jobs across thousands of GPUs, and who is excited to bring that depth to novel hardware. They have a full-stack understanding of machine learning architectures, love to optimize algorithms across disciplinary boundaries, and will deploy and train models directly on our prototype chips to help us prove out what our processor can do - no prior hardware experience required. What You'll Do: Deploy and run trained models on prototype hardware and digital twins, producing working demonstrations on our chips. Develop and adapt algorithms to train models on novel processing environments, including our prototype hardware. Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation. Maintain a deep curiosity about what makes AI systems work - and bring that curiosity to bear on how they run on new hardware. Support go-to-market strategy development What We're Looking For: PhD in machine learning, representation learning, theory of computation, or a related field - or equivalent industry experience working on foundation models at scale. Experience training models at scale - distributed training across many GPUs, working with large datasets and compute. Has built and trained neural networks from scratch Deep knowledge of the structure and internal operation of neural networks - including how and why they behave the way they do (e.g. interpretability or explainability work is a plus). Excitement about applying deep AI expertise to new and novel hardware environments - you don't need prior experience with photonics or silicon, but you want to learn. Fluent knowledge of Python Fluency in PyTorch (preferred), TensorFlow, JAX, or other industry-standard ML software libraries Why Ayo You'll be a founding AI team member - shaping how we think about and deploy AI as a company. We are working on a genuinely hard and interesting problem: unseating the GPU as the dominant AI compute platform. Early-stage means real ownership, real impact, and meaningful equity. Competitive salary. Equity commensurate with stage and seniority. Benefits package including health, dental, and vision. Fully onsite in Boston - we are a collaborative, in-person team.
Job Description Job Description About Valitana Valitana is a rapid growing FinTech startup providing cutting-edge SaaS solutions for institutional investors. Founded in 2017, our platforms have advanced financial analysis, trade flow, and portfolio management tools. Valitana provides robust, intuitive solutions allowing our clients to make informed decisions by improving their operational workflows. With over 500+ active users, our institutional clients include CLO investors, CLO managers, hedge funds, asset managers, insurance companies, family offices, and broker dealers. Valitana was Ranked in the "Best CLO Analytics Service", "Best Secondary CLO Platform", and "Best CLO Portfolio Management Service" in the Creditflux CLO Census for 2023. Position Overview Valitana is seeking a Senior Full-Stack Technical Lead (backend-focused) to help accelerate technology and business growth within a FinTech, client-facing environment. This role is suited for a hands-on senior engineer and technical leader with strong system-design instincts for data-intensive applications, who thrives in a fast-paced, collaborative setting and takes ownership of delivering reliable, scalable, and secure software solutions. The ideal candidate combines deep hands-on technical expertise with the ability to lead, mentor, and influence other developers, while maintaining a strong product- and client-oriented mindset. This individual will play a key role in shaping both the platform and the people building it. Responsibilities Contribute to data-intensive, client-facing FinTech applications with a focus on scalability, performance, security, and correctness. Own feature areas, services, and components end-to-end-from design and implementation through production support-while guiding other engineers through delivery. Own technical design and delivery for a defined domain or service area. Ensure delivery meets functional and non-functional requirements. Lead technical execution for client-facing initiatives, partnering closely with product, business, and client stakeholders to translate requirements into robust, maintainable solutions. Provide technical leadership and day-to-day guidance to engineers, including reviewing work, mentoring team members, and helping raise the technical bar. Lead and manage a small team of engineers, supporting career growth and skill development. Act as primary technical escalation point for the domain and team. Operate with a high degree of autonomy within agreed architectural boundaries while helping set technical direction, priorities, and execution plans within the broader engineering organization. Uphold and reinforce coding standards, API design, architectural principles, and engineering best practices, contributing to their ongoing evolution. Proactively identify technical risks, design trade-offs, and delivery challenges, collaborating with peers and leadership to drive resolution. Foster a culture of quality and accountability through thoughtful code reviews, documentation, knowledge sharing, and cross-team collaboration. Qualifications 8+ years of experience as a Full-Stack or Back-End Developer within the FinTech or broader technology space. Experience leading multi-quarter technical initiatives. Ability to balance business delivery with long-term platform improvements. Experience leading, mentoring, or managing engineers, including providing technical guidance, conducting code reviews, supporting career development, and influencing technical direction. Strong proficiency in server-side programming languages and technologies - C#/.Net, ASP.Net Core, Entity Framework, SQL, Python is a plus. Experience with web frameworks and technologies - Angular, Javascript, Typescript. Strong understanding of agile development methodologies, with experience operating in fast-paced, iterative environments. Proven ability to operate as a self-starter and technical leader, balancing hands-on execution with strategic thinking and team collaboration. Experience designing, building, or supporting cloud-based architectures; familiarity with cloud-hosted systems (e.g., AWS, Azure, GCP) is highly desirable. Bachelor's degree in Computer Science, Engineering, or a related technical field. Preferred: Experience or familiarity with financial products, particularly structured products. Experience leading or managing a team of 5-10 engineers, with 1-2 years of direct management experience is a plus. What We Offer The base salary range for this role is $170,000 to $210,000. Valitana offers a competitive compensation package which includes base salary and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, healthcare with medical, dental, vision, telemedicine, and PTO. Employees in this role will work in the office Mondays through Wednesdays with the flexibility to work remotely Thursdays and Fridays. Assessment and Automated Screening Tools As part of this hiring process, you may be asked to complete a technical assessment administered through HackerRank, a third-party platform. By participating, advancing, or completing the assessment you are consenting to HackerRank possibly using automated features to evaluate or score the submitted work, and information about your submission is processed by that platform. Categories of data processed: The code or written work you submit, assessment scores, completion time, and, if enabled, session activity data. Source of that data is the information you provide directly by completing the assessment. How it is assessed: A Valitana employee reviews assessment results, and no hiring decision is made solely on the basis of an automated score. If you would like more information about how the assessment is evaluated contact Valitana Human Resources at . Equal Opportunity and Accommodation Valitana is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, pregnancy, veteran or military status, genetic information, or any other characteristic protected by federal or Connecticut law. If you need a reasonable accommodation to apply, interview, complete an assessment, or otherwise participate in this hiring process, contact the Human Resources team at . Requesting an accommodation will not affect how your application is considered. Powered by JazzHR UtEVAIiSzB
09/10/2026
Full time
Job Description Job Description About Valitana Valitana is a rapid growing FinTech startup providing cutting-edge SaaS solutions for institutional investors. Founded in 2017, our platforms have advanced financial analysis, trade flow, and portfolio management tools. Valitana provides robust, intuitive solutions allowing our clients to make informed decisions by improving their operational workflows. With over 500+ active users, our institutional clients include CLO investors, CLO managers, hedge funds, asset managers, insurance companies, family offices, and broker dealers. Valitana was Ranked in the "Best CLO Analytics Service", "Best Secondary CLO Platform", and "Best CLO Portfolio Management Service" in the Creditflux CLO Census for 2023. Position Overview Valitana is seeking a Senior Full-Stack Technical Lead (backend-focused) to help accelerate technology and business growth within a FinTech, client-facing environment. This role is suited for a hands-on senior engineer and technical leader with strong system-design instincts for data-intensive applications, who thrives in a fast-paced, collaborative setting and takes ownership of delivering reliable, scalable, and secure software solutions. The ideal candidate combines deep hands-on technical expertise with the ability to lead, mentor, and influence other developers, while maintaining a strong product- and client-oriented mindset. This individual will play a key role in shaping both the platform and the people building it. Responsibilities Contribute to data-intensive, client-facing FinTech applications with a focus on scalability, performance, security, and correctness. Own feature areas, services, and components end-to-end-from design and implementation through production support-while guiding other engineers through delivery. Own technical design and delivery for a defined domain or service area. Ensure delivery meets functional and non-functional requirements. Lead technical execution for client-facing initiatives, partnering closely with product, business, and client stakeholders to translate requirements into robust, maintainable solutions. Provide technical leadership and day-to-day guidance to engineers, including reviewing work, mentoring team members, and helping raise the technical bar. Lead and manage a small team of engineers, supporting career growth and skill development. Act as primary technical escalation point for the domain and team. Operate with a high degree of autonomy within agreed architectural boundaries while helping set technical direction, priorities, and execution plans within the broader engineering organization. Uphold and reinforce coding standards, API design, architectural principles, and engineering best practices, contributing to their ongoing evolution. Proactively identify technical risks, design trade-offs, and delivery challenges, collaborating with peers and leadership to drive resolution. Foster a culture of quality and accountability through thoughtful code reviews, documentation, knowledge sharing, and cross-team collaboration. Qualifications 8+ years of experience as a Full-Stack or Back-End Developer within the FinTech or broader technology space. Experience leading multi-quarter technical initiatives. Ability to balance business delivery with long-term platform improvements. Experience leading, mentoring, or managing engineers, including providing technical guidance, conducting code reviews, supporting career development, and influencing technical direction. Strong proficiency in server-side programming languages and technologies - C#/.Net, ASP.Net Core, Entity Framework, SQL, Python is a plus. Experience with web frameworks and technologies - Angular, Javascript, Typescript. Strong understanding of agile development methodologies, with experience operating in fast-paced, iterative environments. Proven ability to operate as a self-starter and technical leader, balancing hands-on execution with strategic thinking and team collaboration. Experience designing, building, or supporting cloud-based architectures; familiarity with cloud-hosted systems (e.g., AWS, Azure, GCP) is highly desirable. Bachelor's degree in Computer Science, Engineering, or a related technical field. Preferred: Experience or familiarity with financial products, particularly structured products. Experience leading or managing a team of 5-10 engineers, with 1-2 years of direct management experience is a plus. What We Offer The base salary range for this role is $170,000 to $210,000. Valitana offers a competitive compensation package which includes base salary and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, healthcare with medical, dental, vision, telemedicine, and PTO. Employees in this role will work in the office Mondays through Wednesdays with the flexibility to work remotely Thursdays and Fridays. Assessment and Automated Screening Tools As part of this hiring process, you may be asked to complete a technical assessment administered through HackerRank, a third-party platform. By participating, advancing, or completing the assessment you are consenting to HackerRank possibly using automated features to evaluate or score the submitted work, and information about your submission is processed by that platform. Categories of data processed: The code or written work you submit, assessment scores, completion time, and, if enabled, session activity data. Source of that data is the information you provide directly by completing the assessment. How it is assessed: A Valitana employee reviews assessment results, and no hiring decision is made solely on the basis of an automated score. If you would like more information about how the assessment is evaluated contact Valitana Human Resources at . Equal Opportunity and Accommodation Valitana is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, pregnancy, veteran or military status, genetic information, or any other characteristic protected by federal or Connecticut law. If you need a reasonable accommodation to apply, interview, complete an assessment, or otherwise participate in this hiring process, contact the Human Resources team at . Requesting an accommodation will not affect how your application is considered. Powered by JazzHR UtEVAIiSzB
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
09/10/2026
Full time
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
09/10/2026
Full time
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
09/10/2026
Full time
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
09/10/2026
Full time
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
09/10/2026
Full time
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
09/10/2026
Full time
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
09/10/2026
Full time
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
09/10/2026
Full time
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
09/10/2026
Full time
Job Description Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem spanning Slack, Google Workspace with Gemini, Glean, and AI assistants including Claude and ChatGPT. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, implement secure integrations across enterprise systems, and establish technical standards for agent development, testing, and deployment. The role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. WHAT YOU WILL DO - Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities. - Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. - Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. - Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. - Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. - Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. - Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. - Establish standards for AI agents, integrations, configurations, testing, deployment, and security. - Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. - Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 6+ years of experience in development roles, with hands-on experience as a Tech Lead. - Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. - Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. - Proven ability to move solutions from proof of concept to stable, supportable production services. - Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. - Working knowledge of enterprise security, privacy, compliance, and data-governance principles. - Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. - Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. - Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. - Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. - Ability to lead technically through expertise and influence without direct people-management authority. - Upper-intermediate English level. NICE TO HAVES - Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. - Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. - Software development experience with Python, TypeScript, JavaScript, or similar languages. - Experience creating MCP servers or integrating MCP-compatible clients and tools. - Experience operating an enterprise AI platform or supporting an internal AI enablement program. - Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. PERKS AND BENEFITS - Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget - Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews - Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands - Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized - Well-being & support: access local well-being programs and people-focused support tailored to your location
We're seeking a future team member for the role of Senior Vice President, Full-Stack Engineering to join our Data Solutions & Services team. This role is located in New York. In this role, you'll make an impact in the following ways: Consult with internal business groups to provide advanced application software development services and technical support. Design, develop, test, and maintain scalable full-stack applications using modern technologies and frameworks such as Java, React, Oracle, Kafka, Snowflake, Node.js, Angular, JavaScript, HTML, and CSS. Develop high-quality, efficient, maintainable, and testable code while implementing automated testing and quality assurance practices. Architect and implement AI-powered solutions utilizing Large Language Models (LLMs), vector databases, and orchestration frameworks. Lead technical discovery, proof-of-concepts, prototyping, and innovation initiatives to evaluate emerging technologies and business solutions. Provide senior-level technical consulting and strategic guidance to IT leadership and business stakeholders. Establish and promote engineering best practices, coding standards, architectural principles, and development methodologies. Design and develop automated test frameworks, test suites, flowcharts, documentation, and technical specifications. Maintain software functionality, application performance, and platform modernization efforts while reducing technical debt. Apply security, privacy, database, and architecture design principles throughout the software development lifecycle. Participate in code reviews and mentor junior engineers to foster technical excellence and professional growth. Collaborate closely with product, operations, data, and security teams to deliver end-to-end enterprise solutions. Communicate complex technical concepts and architectural recommendations to both technical and non-technical stakeholders. Influence technology decisions through architectural leadership, data-driven insights, and technology evaluations. Drive execution of AI modernization initiatives while ensuring delivery commitments, platform stability, scalability, and future growth objectives are achieved. To be successful in this role, we're seeking the following: Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience. Advanced degree preferred. 9-11 years of software development experience, preferably within financial services or securities industries. Strong experience in full-stack development with expertise in Java, C#, Node.js, Angular, JavaScript, HTML, CSS, JSON, and related technologies. Experience with modern application frameworks, containerization technologies, relational databases, and distributed systems. Knowledge of software architecture, security principles, privacy controls, and enterprise application design. Experience implementing vendor-specific and structured development methodologies. Strong leadership, communication, organizational, and interpersonal skills with demonstrated mentoring experience. Ability to stay current with emerging technologies and continuously drive innovation and learning. Preferred Qualifications Experience building and deploying AI-enabled applications and intelligent automation solutions. Experience influencing enterprise technology strategy and large-scale modernization initiatives. Exposure to cloud-native architectures, event-driven systems, and enterprise integration frameworks. Proven track record of balancing innovation initiatives with critical business delivery commitments. At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what is all about. Join us and be part of something extraordinary.
09/09/2026
Full time
We're seeking a future team member for the role of Senior Vice President, Full-Stack Engineering to join our Data Solutions & Services team. This role is located in New York. In this role, you'll make an impact in the following ways: Consult with internal business groups to provide advanced application software development services and technical support. Design, develop, test, and maintain scalable full-stack applications using modern technologies and frameworks such as Java, React, Oracle, Kafka, Snowflake, Node.js, Angular, JavaScript, HTML, and CSS. Develop high-quality, efficient, maintainable, and testable code while implementing automated testing and quality assurance practices. Architect and implement AI-powered solutions utilizing Large Language Models (LLMs), vector databases, and orchestration frameworks. Lead technical discovery, proof-of-concepts, prototyping, and innovation initiatives to evaluate emerging technologies and business solutions. Provide senior-level technical consulting and strategic guidance to IT leadership and business stakeholders. Establish and promote engineering best practices, coding standards, architectural principles, and development methodologies. Design and develop automated test frameworks, test suites, flowcharts, documentation, and technical specifications. Maintain software functionality, application performance, and platform modernization efforts while reducing technical debt. Apply security, privacy, database, and architecture design principles throughout the software development lifecycle. Participate in code reviews and mentor junior engineers to foster technical excellence and professional growth. Collaborate closely with product, operations, data, and security teams to deliver end-to-end enterprise solutions. Communicate complex technical concepts and architectural recommendations to both technical and non-technical stakeholders. Influence technology decisions through architectural leadership, data-driven insights, and technology evaluations. Drive execution of AI modernization initiatives while ensuring delivery commitments, platform stability, scalability, and future growth objectives are achieved. To be successful in this role, we're seeking the following: Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience. Advanced degree preferred. 9-11 years of software development experience, preferably within financial services or securities industries. Strong experience in full-stack development with expertise in Java, C#, Node.js, Angular, JavaScript, HTML, CSS, JSON, and related technologies. Experience with modern application frameworks, containerization technologies, relational databases, and distributed systems. Knowledge of software architecture, security principles, privacy controls, and enterprise application design. Experience implementing vendor-specific and structured development methodologies. Strong leadership, communication, organizational, and interpersonal skills with demonstrated mentoring experience. Ability to stay current with emerging technologies and continuously drive innovation and learning. Preferred Qualifications Experience building and deploying AI-enabled applications and intelligent automation solutions. Experience influencing enterprise technology strategy and large-scale modernization initiatives. Exposure to cloud-native architectures, event-driven systems, and enterprise integration frameworks. Proven track record of balancing innovation initiatives with critical business delivery commitments. At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what is all about. Join us and be part of something extraordinary.
Requisition ID: req422 Location: Phoenix, AZ, United States Join Our Team! We are currently recruiting a Renewable Senior Project Developer to join our team and contribute to key projects in a dynamic and collaborative environment. This role is part of a global team working towardcommon goals. We operate as one company, across all locations, with shared responsibility andclear accountability. Senior Project Developer - Renewable Energy Location: Tempe, Arizona Department: Development Role Purpose: We are seeking a Senior Project Developer to own and drive the full lifecycle of complex, utility-scale renewable energy projects - from strategic site identification and feasibility through permitting, stakeholder alignment, financial structuring, and pre-construction handover. This role goes beyond execution: the Senior Project Developer is expected to shape development strategy, mentor junior team members, and serve as a key decision-maker and external representative for the organization. The ideal candidate brings deep sector expertise, a demonstrated track record of independently advancing large-scale projects, and the leadership presence to build consensus across internal teams, regulatory bodies, and community stakeholders. This role is part of a global team working toward common goals. We operate as one company, across all locations, with shared responsibility and clear accountability. Key Responsibilities: Lead site identification and advanced feasibility assessments for utility-scale renewable energy projects, integrating resource, environmental, grid interconnection, and economic analysis into strategic go/no-go recommendations. Own and manage the full permitting process across local, state, and federal jurisdictions; proactively resolve regulatory challenges and maintain senior-level relationships with agencies. Lead negotiations with landowners, utilities, municipalities, First Nations, and government stakeholders; structure and close site control agreements and project support arrangements. Develop, own, and actively manage project schedules, budgets, risk registers, and executive-level progress reporting; drive accountability across all workstreams. Lead project financial modeling, funding strategy, and the structuring and negotiation of commercial agreements including PPAs, interconnection agreements, and offtake arrangements. Serve as the senior cross-functional liaison across engineering, environmental, legal, and finance teams; identify and resolve risks that could impede development milestones. Represent the company at public hearings, community meetings, regulatory proceedings, and industry conferences as a senior spokesperson for project objectives and company values. Proactively monitor market, policy, and technology trends; translate insights into strategic recommendations that shape the development pipeline. Lead pre-construction handoffs, ensuring seamless transitions to construction and delivery teams with full compliance and documentation integrity. Mentor and provide technical guidance to junior and mid-level development team members; contribute to team capability building and knowledge sharing. Education & Certifications: Bachelor's degree in Engineering, Environmental Science, Business, Urban Planning, or a related field; Master's degree strongly preferred. PMP, LEED, or other relevant professional certifications are a plus. Proficiency with GIS tools, project management platforms, and CRM software (Salesforce, MS Project, Primavera, or equivalent). Experience & Technical Skills: 7-12 years of progressive experience in renewable energy project development, permitting, or project management, with a demonstrated track record of independently closing projects from greenfield through pre-construction. Proven ability to advance multiple complex projects simultaneously across site control, permitting, interconnection, and pre-construction phases. Deep expertise in feasibility assessment, environmental review, regulatory compliance, and multi-jurisdictional permitting strategies. Strong financial acumen including hands-on experience with financial modeling, development budgeting, cost estimation, and structuring commercial agreements. Established external relationships with utilities, regulators, landowners, and development consultants. Advanced proficiency in Microsoft Office Suite, with experience in scheduling, database, and project management tools. Key Competencies: Strategic thinker with the ability to anticipate risks and opportunities across complex, long-horizon projects. Highly organized and decisive; able to manage competing priorities across a large portfolio without loss of quality or momentum. Exceptional communicator and negotiator; builds lasting trust with landowners, regulators, community stakeholders, and executive leadership. Proactive and self-directed; comfortable owning outcomes in ambiguous, fast-moving environments. Collaborative leader who elevates the team around them and operates with a one-company mindset. Resilient and solutions-oriented, with a track record of navigating and overcoming complex project obstacles. Company Culture: We believe in a culture of trust, shared goals, and accountability. No matter where you are based, you are part of one team working toward the same mission. Company Culture We believein a culture of trust, shared goals, and accountability. No matter where youare based, you are part of one team working toward the same mission. PI317882ba910f-9610
09/09/2026
Full time
Requisition ID: req422 Location: Phoenix, AZ, United States Join Our Team! We are currently recruiting a Renewable Senior Project Developer to join our team and contribute to key projects in a dynamic and collaborative environment. This role is part of a global team working towardcommon goals. We operate as one company, across all locations, with shared responsibility andclear accountability. Senior Project Developer - Renewable Energy Location: Tempe, Arizona Department: Development Role Purpose: We are seeking a Senior Project Developer to own and drive the full lifecycle of complex, utility-scale renewable energy projects - from strategic site identification and feasibility through permitting, stakeholder alignment, financial structuring, and pre-construction handover. This role goes beyond execution: the Senior Project Developer is expected to shape development strategy, mentor junior team members, and serve as a key decision-maker and external representative for the organization. The ideal candidate brings deep sector expertise, a demonstrated track record of independently advancing large-scale projects, and the leadership presence to build consensus across internal teams, regulatory bodies, and community stakeholders. This role is part of a global team working toward common goals. We operate as one company, across all locations, with shared responsibility and clear accountability. Key Responsibilities: Lead site identification and advanced feasibility assessments for utility-scale renewable energy projects, integrating resource, environmental, grid interconnection, and economic analysis into strategic go/no-go recommendations. Own and manage the full permitting process across local, state, and federal jurisdictions; proactively resolve regulatory challenges and maintain senior-level relationships with agencies. Lead negotiations with landowners, utilities, municipalities, First Nations, and government stakeholders; structure and close site control agreements and project support arrangements. Develop, own, and actively manage project schedules, budgets, risk registers, and executive-level progress reporting; drive accountability across all workstreams. Lead project financial modeling, funding strategy, and the structuring and negotiation of commercial agreements including PPAs, interconnection agreements, and offtake arrangements. Serve as the senior cross-functional liaison across engineering, environmental, legal, and finance teams; identify and resolve risks that could impede development milestones. Represent the company at public hearings, community meetings, regulatory proceedings, and industry conferences as a senior spokesperson for project objectives and company values. Proactively monitor market, policy, and technology trends; translate insights into strategic recommendations that shape the development pipeline. Lead pre-construction handoffs, ensuring seamless transitions to construction and delivery teams with full compliance and documentation integrity. Mentor and provide technical guidance to junior and mid-level development team members; contribute to team capability building and knowledge sharing. Education & Certifications: Bachelor's degree in Engineering, Environmental Science, Business, Urban Planning, or a related field; Master's degree strongly preferred. PMP, LEED, or other relevant professional certifications are a plus. Proficiency with GIS tools, project management platforms, and CRM software (Salesforce, MS Project, Primavera, or equivalent). Experience & Technical Skills: 7-12 years of progressive experience in renewable energy project development, permitting, or project management, with a demonstrated track record of independently closing projects from greenfield through pre-construction. Proven ability to advance multiple complex projects simultaneously across site control, permitting, interconnection, and pre-construction phases. Deep expertise in feasibility assessment, environmental review, regulatory compliance, and multi-jurisdictional permitting strategies. Strong financial acumen including hands-on experience with financial modeling, development budgeting, cost estimation, and structuring commercial agreements. Established external relationships with utilities, regulators, landowners, and development consultants. Advanced proficiency in Microsoft Office Suite, with experience in scheduling, database, and project management tools. Key Competencies: Strategic thinker with the ability to anticipate risks and opportunities across complex, long-horizon projects. Highly organized and decisive; able to manage competing priorities across a large portfolio without loss of quality or momentum. Exceptional communicator and negotiator; builds lasting trust with landowners, regulators, community stakeholders, and executive leadership. Proactive and self-directed; comfortable owning outcomes in ambiguous, fast-moving environments. Collaborative leader who elevates the team around them and operates with a one-company mindset. Resilient and solutions-oriented, with a track record of navigating and overcoming complex project obstacles. Company Culture: We believe in a culture of trust, shared goals, and accountability. No matter where you are based, you are part of one team working toward the same mission. Company Culture We believein a culture of trust, shared goals, and accountability. No matter where youare based, you are part of one team working toward the same mission. PI317882ba910f-9610
Celerity Consulting Group, LLC
Walnut Creek, California
Job Title: Senior Business Analyst - Utilities FSM / ERP Implementations (Multiple positions available) Company: Celerity Consulting Group Location: Remote (work from home eligible) with the ability to travel for client meetings and workshops Salary: $100,000 - $120,000 annually DOE Company Overview: Celerity is a consulting firm specializing in the utilities and energy sectors. We empower organizations by converting complex data into actionable intelligence to mitigate risk, optimize assets, and maximize project outcomes. Our background and expertise enable us to drive and deliver transformation and operational excellence for our clients. Our background and expertise also enable us to implement enterprise systems & solutions, driving digital transformation and operational excellence for our clients. Position Overview: We are seeking a Senior Business Analyst with over 8 years of experience in implementing projects for enterprise systems (ERPs, CRMs, FSM, etc.) and a strong background in the utilities/energy/telecom industries. The ideal candidate will play a pivotal role in analyzing client business processes, identifying requirements, and implementing solutions to enhance operational efficiency. Key Responsibilities: Requirements Gathering and Analysis: Engage with clients to understand and document their business processes, needs, and objectives related to field service operations. Analyze and translate business requirements into functional specifications for enterprise solutions. Conduct gap analyses to identify areas where current systems fall short of client needs. Solution Design and Implementation: Collaborate with technical teams to design solutions that align with client requirements and industry best practices. Assist in configuring and customizing tools to meet specific client needs. Develop and execute test plans to ensure solutions meet specified requirements and quality standards. Stakeholder Communication and Management: Serve as a liaison between clients, project managers, and technical teams to ensure clear communication and alignment throughout the project lifecycle. Facilitate workshops and meetings to gather requirements, present solutions, and obtain stakeholder buy-in. Prepare and deliver presentations and reports to clients and internal stakeholders. Process Improvement and Optimization: Identify opportunities to enhance client business processes through the effective use of FSM solutions. Recommend best practices and innovative solutions to improve field service operations and efficiency. Monitor solution performance and suggest enhancements based on data analysis and client feedback. Testing Hands on experience writing detailed user stories, test cases and executing tests. Should have an eye for details and be familiar with arduous test cases. Experience logging, tracking, prioritizing and validating defects. Experience guiding new users through individual and collaborative UAT sessions. Should be familiar with navigating difficult conversations with users when bugs are uncovered or business needs are deprioritized for the scope of the project. Training and Support: Develop training materials and conduct training sessions for clients to ensure successful adoption of enterprise solutions. Provide ongoing support to clients' post-implementation to address issues and optimize solution usage Educational Qualifications: Bachelor's degree in Business Administration, Information Technology, Engineering, or a related field required. Advanced degree (MBA or Master's) is preferred. Required Skills and Experience: Minimum of 7 years of experience as a Business Analyst, with a focus on Enterprise Field Service Management and mobile workforce solutions. Demonstrated experience in requirements gathering, process analysis, and solution implementation. Hands-on experience with SQL to access, retrieve, manipulate, and analyze data. Hands-on experience with Jira, Confluence, MS SharePoint, Process design tools (Vizio, Signavio, etc.) and similar PMO tools. Strong understanding of utility operations, asset management, and field service management (REQUIRED) Excellent analytical and problem-solving skills, with the ability to think critically and propose effective solutions. Exceptional communication and interpersonal skills, with the ability to engage effectively with clients and stakeholders at all levels. Strong project management skills, with the ability to manage multiple priorities and meet deadlines. Familiarity with business integration requirements across technology stack (ERP, CRM, CIS, BI, Datawarehouse, etc.) Ability to travel to client sites (domestic and(or) international) as required and defined per project requirements. Preferred Skills: Consulting background with experience in client-facing roles and managing stakeholder relationships. Proficiency in using FSM software platforms a plus. Familiarity with GIS integration and mobile workforce management solutions. Knowledge of emerging technologies such as IoT, AI, and Machine Learning as they apply to Field Service Management. Professional certifications related to Business Analysis (e.g., CBAP) or Project Management (e.g., PMP). The salary range for this position is provided in good faith and is subject to variation based on geographic location, candidate experience, and market conditions. Final compensation will be determined after a comprehensive evaluation of the candidate's qualifications and alignment with the role. In accordance with applicable pay transparency laws-including but not limited to those in California, Colorado, New York, Washington, and other jurisdictions-we disclose salary ranges to promote equity and transparency. Where required by law, compensation and benefits information will be included in job postings or made available upon request. This job description outlines the primary responsibilities and standards of the position but is not exhaustive. Employees may be asked to perform additional duties that are reasonably related to their role and consistent with company policies and applicable labor laws. Employee welfare and development is important to us, and we sponsor many activities outside of work to promote team building as well as sponsor formal training and certification. We are proud to offer a comprehensive health and welfare benefit package that includes: HEALTH & WELL-BEING Medical Insurance Dental Insurance Vision Insurance PEACE OF MIND Disability Insurance (STD/LTD) Flexible Spending Account Health Savings Account Basic Life/AD&D 401(k) plan WORK/LIFE BALANCE Paid Time Off Company Holidays Leave of Absence Remote work and Flexible Work Schedules (for qualified positions) ADDITIONAL PERKS Employee Referral Program Professional Development Charitable Contribution Match Based in Walnut Creek, CA with offices nationwide, Celerity energy engineers perform a critical, leadership role as strategic liaisons between data, assets and the teams that make projects happen in the field. See full details and meet our leadership team on our website: Celerity is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veterans' status or other status protected by applicable law. Pursuant to the Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position is open to individuals who are currently authorized to work in the United States on a full-time basis. Unfortunately, we are unable to sponsor or assume sponsorship of employment visas at this time. Powered by JazzHR Compensation details: 00 Yearly Salary PIbcf84d5-
09/09/2026
Full time
Job Title: Senior Business Analyst - Utilities FSM / ERP Implementations (Multiple positions available) Company: Celerity Consulting Group Location: Remote (work from home eligible) with the ability to travel for client meetings and workshops Salary: $100,000 - $120,000 annually DOE Company Overview: Celerity is a consulting firm specializing in the utilities and energy sectors. We empower organizations by converting complex data into actionable intelligence to mitigate risk, optimize assets, and maximize project outcomes. Our background and expertise enable us to drive and deliver transformation and operational excellence for our clients. Our background and expertise also enable us to implement enterprise systems & solutions, driving digital transformation and operational excellence for our clients. Position Overview: We are seeking a Senior Business Analyst with over 8 years of experience in implementing projects for enterprise systems (ERPs, CRMs, FSM, etc.) and a strong background in the utilities/energy/telecom industries. The ideal candidate will play a pivotal role in analyzing client business processes, identifying requirements, and implementing solutions to enhance operational efficiency. Key Responsibilities: Requirements Gathering and Analysis: Engage with clients to understand and document their business processes, needs, and objectives related to field service operations. Analyze and translate business requirements into functional specifications for enterprise solutions. Conduct gap analyses to identify areas where current systems fall short of client needs. Solution Design and Implementation: Collaborate with technical teams to design solutions that align with client requirements and industry best practices. Assist in configuring and customizing tools to meet specific client needs. Develop and execute test plans to ensure solutions meet specified requirements and quality standards. Stakeholder Communication and Management: Serve as a liaison between clients, project managers, and technical teams to ensure clear communication and alignment throughout the project lifecycle. Facilitate workshops and meetings to gather requirements, present solutions, and obtain stakeholder buy-in. Prepare and deliver presentations and reports to clients and internal stakeholders. Process Improvement and Optimization: Identify opportunities to enhance client business processes through the effective use of FSM solutions. Recommend best practices and innovative solutions to improve field service operations and efficiency. Monitor solution performance and suggest enhancements based on data analysis and client feedback. Testing Hands on experience writing detailed user stories, test cases and executing tests. Should have an eye for details and be familiar with arduous test cases. Experience logging, tracking, prioritizing and validating defects. Experience guiding new users through individual and collaborative UAT sessions. Should be familiar with navigating difficult conversations with users when bugs are uncovered or business needs are deprioritized for the scope of the project. Training and Support: Develop training materials and conduct training sessions for clients to ensure successful adoption of enterprise solutions. Provide ongoing support to clients' post-implementation to address issues and optimize solution usage Educational Qualifications: Bachelor's degree in Business Administration, Information Technology, Engineering, or a related field required. Advanced degree (MBA or Master's) is preferred. Required Skills and Experience: Minimum of 7 years of experience as a Business Analyst, with a focus on Enterprise Field Service Management and mobile workforce solutions. Demonstrated experience in requirements gathering, process analysis, and solution implementation. Hands-on experience with SQL to access, retrieve, manipulate, and analyze data. Hands-on experience with Jira, Confluence, MS SharePoint, Process design tools (Vizio, Signavio, etc.) and similar PMO tools. Strong understanding of utility operations, asset management, and field service management (REQUIRED) Excellent analytical and problem-solving skills, with the ability to think critically and propose effective solutions. Exceptional communication and interpersonal skills, with the ability to engage effectively with clients and stakeholders at all levels. Strong project management skills, with the ability to manage multiple priorities and meet deadlines. Familiarity with business integration requirements across technology stack (ERP, CRM, CIS, BI, Datawarehouse, etc.) Ability to travel to client sites (domestic and(or) international) as required and defined per project requirements. Preferred Skills: Consulting background with experience in client-facing roles and managing stakeholder relationships. Proficiency in using FSM software platforms a plus. Familiarity with GIS integration and mobile workforce management solutions. Knowledge of emerging technologies such as IoT, AI, and Machine Learning as they apply to Field Service Management. Professional certifications related to Business Analysis (e.g., CBAP) or Project Management (e.g., PMP). The salary range for this position is provided in good faith and is subject to variation based on geographic location, candidate experience, and market conditions. Final compensation will be determined after a comprehensive evaluation of the candidate's qualifications and alignment with the role. In accordance with applicable pay transparency laws-including but not limited to those in California, Colorado, New York, Washington, and other jurisdictions-we disclose salary ranges to promote equity and transparency. Where required by law, compensation and benefits information will be included in job postings or made available upon request. This job description outlines the primary responsibilities and standards of the position but is not exhaustive. Employees may be asked to perform additional duties that are reasonably related to their role and consistent with company policies and applicable labor laws. Employee welfare and development is important to us, and we sponsor many activities outside of work to promote team building as well as sponsor formal training and certification. We are proud to offer a comprehensive health and welfare benefit package that includes: HEALTH & WELL-BEING Medical Insurance Dental Insurance Vision Insurance PEACE OF MIND Disability Insurance (STD/LTD) Flexible Spending Account Health Savings Account Basic Life/AD&D 401(k) plan WORK/LIFE BALANCE Paid Time Off Company Holidays Leave of Absence Remote work and Flexible Work Schedules (for qualified positions) ADDITIONAL PERKS Employee Referral Program Professional Development Charitable Contribution Match Based in Walnut Creek, CA with offices nationwide, Celerity energy engineers perform a critical, leadership role as strategic liaisons between data, assets and the teams that make projects happen in the field. See full details and meet our leadership team on our website: Celerity is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veterans' status or other status protected by applicable law. Pursuant to the Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position is open to individuals who are currently authorized to work in the United States on a full-time basis. Unfortunately, we are unable to sponsor or assume sponsorship of employment visas at this time. Powered by JazzHR Compensation details: 00 Yearly Salary PIbcf84d5-
Job Description Job Description About Pair Team Pair Team is building a new kind of healthcare system across Medicaid, Medicare, and public assistance programs: one that recognizes that access to housing, nutritious food, and reliable transportation are just as critical to health as having the right medications or seeing a doctor. As a public benefit corporation and AI-enabled medical group, we partner with shelters, food pantries, and community organizations to deliver "whole-person" care to the 115 million Americans who rely on the safety net. We are currently the largest complex care provider in California with over 500 employees and are expanding nationally. Our model replaces fragmented healthcare and social services systems with one trusted relationship for all medical, behavioral, and social needs. We improve access, build trust, and dramatically lower costs (52% fewer ER visits, 26% fewer hospitalizations). Our model is a rare combination of saving tax payer dollars ($150B annually at scale) while putting people on an upward life trajectory. At national scale, this approach would save taxpayers. These outcomes are driven by the AI-first, whole-person infrastructure we are building - a platform that connects healthcare and social-service organizations into a unified network. Leveraging our vast data and years of operational experience, we are building the agentic infrastructure for the safety net to coordinate care, automate operations, and learn from every patient interaction to continuously improve outcomes. Read more about the AI-First Medicaid System we are building here . Forbes: For Pair Team, Accessibility Is About Delivering Healthcare To Those Who Need It The Most TechCrunch: Building for Medicaid's regulatory moment with Neil Batlivala from Pair Team Journal of General Internal Medicine: A Novel Intervention for Medicaid Beneficiaries with Complex Needs About the Opportunity As a HIPAA-regulated, AI-native company, security is foundational to our ability to serve patients. As our platform, AI capabilities, and regulatory footprint continue to grow, we're looking for our first dedicated Security Engineer to help scale our security posture alongside the business. This is a highly hands-on engineering role. You'll own the implementation of security controls across applications, cloud infrastructure, AI systems, and compliance-driven initiatives. You'll help secure patient-facing voice agents, LLM-powered workflows, internal developer tooling, and a growing ecosystem of vendors and integrations. You'll partner closely with Engineering and IT to remediate findings, improve our security foundations, and build systems that enable the company to move quickly and safely. This role is ideal for someone who enjoys building-an engineer who wants to write code, automate workflows, strengthen infrastructure, and help shape security at a company using AI to improve healthcare access for underserved communities. This is a fully remote position reporting up to the IT Lead. What You'll Do Own vulnerability management, dependency security, threat modeling, security code reviews, and remediation of penetration test findings. Strengthen our AWS security posture, identity and access management (IAM, SSO, SAML, SCIM), endpoint security, threat detection, and incident response capabilities. Design and implement security controls for AI-powered products and workflows, including protections against prompt injection, data leakage, and other AI-specific risks. Build technical safeguards that enable the secure use of PHI and sensitive data within LLM-powered systems. Implement and maintain the technical controls, evidence, and security practices required to support HIPAA, SOC 2, and other compliance programs. Leverage AI-powered tooling, automation, and modern security platforms to scale security impact across the organization. Build self-service security solutions, paved roads, and runbooks that help engineers move quickly while maintaining strong security standards. Partner closely with Engineering and IT to deliver pragmatic, scalable security solutions that support product velocity and business growth. Be a force multiplier for the Pod-Infra team What You'll Need 2+ years of Security Engineering experience, with significant depth in either application security or infrastructure/cloud security and working proficiency in the other Strong AWS and cloud security expertise, including IAM, identity management (SSO, SAML, SCIM), network security, secrets management, and cloud-native security tooling Hands-on software engineering experience with the ability to read, review, and ship production code in Python and/or TypeScript. Ruby experience is a plus Experience implementing technical controls in regulated environments such as HIPAA, SOC 2, HITRUST, PCI, or similar compliance frameworks Demonstrated fluency with AI and LLM-powered tools, including practical experience incorporating them into day-to-day engineering workflows Strong understanding of AI security concepts, including prompt injection, AI agent guardrails, data governance, PHI handling, and AI vendor risk Builder mindset with a bias toward execution, ownership, and practical problem-solving. Ownership mindset - own driving results for the mission, business, and customer experience Strong collaboration skills with thought partners from engineering, product, and legal Strong desire to work in an early stage startup environment that is fast paced, complex, and has minimal barriers to make decisions (no "red tape") Passion for helping individuals experiencing complex chronic needs such as homelessness, severe mental illness, and substance use disorder Bonus Points for the following: A consulting or advisory background Experience as an early security hire at a startup, particularly as the first or early security engineer Experience securing consumer-facing or patient-facing AI products and applications Contributions to open-source security projects, security tooling, and/or published security research CISSP, OSCP, AWS Security Specialty, or similar certifications Our Values Lead with integrity: We keep our commitments and take responsibility for our actions. We are dependable and choose authenticity over perfection. Embrace challenges: We leave our egos at the door and step forward into discomfort instead of back into safety. We help each other to learn and provide feedback using candor and kindness. Break through walls: We go the extra mile for our patients, partners and one another, and we run toward hard things. We are resilient in our push for consistent improvement and challenge the status quo. Act beyond yourself: We build each other up and respect boundaries. We seek first to understand and assume positive intent. Care comes first: We hold ourselves to the highest standards for our patients. We are relentless in the pursuit of our mission, and ensure that we are taking care of ourselves in order to care for others. Because We Value You Competitive salary: $170,000 - $190,000 (depending on experience) Equity compensation package Flexible vacation policy - take the time you need to recharge Comprehensive medical, dental, and vision coverage 401(k) 100% company-sponsored short and long-term disability and life insurance Subsidized backup childcare and caregiver supports through Wellthy Work entirely from the comfort of your own home Monthly $100 work from home expense stipend We provide the equipment needed for the role Opportunity for rapid career progression with plenty of room for personal growth! Pair Team is an Equal Opportunity Employer. At Pair Team, we value diversity and strive to provide an inclusive environment for all applicants and employees. All applicants will be considered without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, marital status, age, disability, political affiliation, military service, genetic information, or any other characteristic covered by federal, state, or local law. Pair Team participates in E-Verify to verify employment eligibility for new hires. Any offer of employment at Pair Team is conditioned upon passing a pre-employment background check. Following a conditional job offer, candidates will undergo comprehensive employment background checks, including; criminal history, reference checks, and driving records if a role requires vehicle use. We do not conduct any TA business outside of emails. If you're ever concerned about spam or fraudulent activity, please reach out to . Note: Please be aware that while we sincerely appreciate your interest, due to the high volume of requests, we're unable to respond to general position inquiries via email. To apply for a position with us, please submit your application for the role you are interested in. Our team regularly reviews applications and will reach out to candidates whose qualifications align with our current openings listed below. Thank you!
09/09/2026
Full time
Job Description Job Description About Pair Team Pair Team is building a new kind of healthcare system across Medicaid, Medicare, and public assistance programs: one that recognizes that access to housing, nutritious food, and reliable transportation are just as critical to health as having the right medications or seeing a doctor. As a public benefit corporation and AI-enabled medical group, we partner with shelters, food pantries, and community organizations to deliver "whole-person" care to the 115 million Americans who rely on the safety net. We are currently the largest complex care provider in California with over 500 employees and are expanding nationally. Our model replaces fragmented healthcare and social services systems with one trusted relationship for all medical, behavioral, and social needs. We improve access, build trust, and dramatically lower costs (52% fewer ER visits, 26% fewer hospitalizations). Our model is a rare combination of saving tax payer dollars ($150B annually at scale) while putting people on an upward life trajectory. At national scale, this approach would save taxpayers. These outcomes are driven by the AI-first, whole-person infrastructure we are building - a platform that connects healthcare and social-service organizations into a unified network. Leveraging our vast data and years of operational experience, we are building the agentic infrastructure for the safety net to coordinate care, automate operations, and learn from every patient interaction to continuously improve outcomes. Read more about the AI-First Medicaid System we are building here . Forbes: For Pair Team, Accessibility Is About Delivering Healthcare To Those Who Need It The Most TechCrunch: Building for Medicaid's regulatory moment with Neil Batlivala from Pair Team Journal of General Internal Medicine: A Novel Intervention for Medicaid Beneficiaries with Complex Needs About the Opportunity As a HIPAA-regulated, AI-native company, security is foundational to our ability to serve patients. As our platform, AI capabilities, and regulatory footprint continue to grow, we're looking for our first dedicated Security Engineer to help scale our security posture alongside the business. This is a highly hands-on engineering role. You'll own the implementation of security controls across applications, cloud infrastructure, AI systems, and compliance-driven initiatives. You'll help secure patient-facing voice agents, LLM-powered workflows, internal developer tooling, and a growing ecosystem of vendors and integrations. You'll partner closely with Engineering and IT to remediate findings, improve our security foundations, and build systems that enable the company to move quickly and safely. This role is ideal for someone who enjoys building-an engineer who wants to write code, automate workflows, strengthen infrastructure, and help shape security at a company using AI to improve healthcare access for underserved communities. This is a fully remote position reporting up to the IT Lead. What You'll Do Own vulnerability management, dependency security, threat modeling, security code reviews, and remediation of penetration test findings. Strengthen our AWS security posture, identity and access management (IAM, SSO, SAML, SCIM), endpoint security, threat detection, and incident response capabilities. Design and implement security controls for AI-powered products and workflows, including protections against prompt injection, data leakage, and other AI-specific risks. Build technical safeguards that enable the secure use of PHI and sensitive data within LLM-powered systems. Implement and maintain the technical controls, evidence, and security practices required to support HIPAA, SOC 2, and other compliance programs. Leverage AI-powered tooling, automation, and modern security platforms to scale security impact across the organization. Build self-service security solutions, paved roads, and runbooks that help engineers move quickly while maintaining strong security standards. Partner closely with Engineering and IT to deliver pragmatic, scalable security solutions that support product velocity and business growth. Be a force multiplier for the Pod-Infra team What You'll Need 2+ years of Security Engineering experience, with significant depth in either application security or infrastructure/cloud security and working proficiency in the other Strong AWS and cloud security expertise, including IAM, identity management (SSO, SAML, SCIM), network security, secrets management, and cloud-native security tooling Hands-on software engineering experience with the ability to read, review, and ship production code in Python and/or TypeScript. Ruby experience is a plus Experience implementing technical controls in regulated environments such as HIPAA, SOC 2, HITRUST, PCI, or similar compliance frameworks Demonstrated fluency with AI and LLM-powered tools, including practical experience incorporating them into day-to-day engineering workflows Strong understanding of AI security concepts, including prompt injection, AI agent guardrails, data governance, PHI handling, and AI vendor risk Builder mindset with a bias toward execution, ownership, and practical problem-solving. Ownership mindset - own driving results for the mission, business, and customer experience Strong collaboration skills with thought partners from engineering, product, and legal Strong desire to work in an early stage startup environment that is fast paced, complex, and has minimal barriers to make decisions (no "red tape") Passion for helping individuals experiencing complex chronic needs such as homelessness, severe mental illness, and substance use disorder Bonus Points for the following: A consulting or advisory background Experience as an early security hire at a startup, particularly as the first or early security engineer Experience securing consumer-facing or patient-facing AI products and applications Contributions to open-source security projects, security tooling, and/or published security research CISSP, OSCP, AWS Security Specialty, or similar certifications Our Values Lead with integrity: We keep our commitments and take responsibility for our actions. We are dependable and choose authenticity over perfection. Embrace challenges: We leave our egos at the door and step forward into discomfort instead of back into safety. We help each other to learn and provide feedback using candor and kindness. Break through walls: We go the extra mile for our patients, partners and one another, and we run toward hard things. We are resilient in our push for consistent improvement and challenge the status quo. Act beyond yourself: We build each other up and respect boundaries. We seek first to understand and assume positive intent. Care comes first: We hold ourselves to the highest standards for our patients. We are relentless in the pursuit of our mission, and ensure that we are taking care of ourselves in order to care for others. Because We Value You Competitive salary: $170,000 - $190,000 (depending on experience) Equity compensation package Flexible vacation policy - take the time you need to recharge Comprehensive medical, dental, and vision coverage 401(k) 100% company-sponsored short and long-term disability and life insurance Subsidized backup childcare and caregiver supports through Wellthy Work entirely from the comfort of your own home Monthly $100 work from home expense stipend We provide the equipment needed for the role Opportunity for rapid career progression with plenty of room for personal growth! Pair Team is an Equal Opportunity Employer. At Pair Team, we value diversity and strive to provide an inclusive environment for all applicants and employees. All applicants will be considered without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, marital status, age, disability, political affiliation, military service, genetic information, or any other characteristic covered by federal, state, or local law. Pair Team participates in E-Verify to verify employment eligibility for new hires. Any offer of employment at Pair Team is conditioned upon passing a pre-employment background check. Following a conditional job offer, candidates will undergo comprehensive employment background checks, including; criminal history, reference checks, and driving records if a role requires vehicle use. We do not conduct any TA business outside of emails. If you're ever concerned about spam or fraudulent activity, please reach out to . Note: Please be aware that while we sincerely appreciate your interest, due to the high volume of requests, we're unable to respond to general position inquiries via email. To apply for a position with us, please submit your application for the role you are interested in. Our team regularly reviews applications and will reach out to candidates whose qualifications align with our current openings listed below. Thank you!
Job Description Job Description Team Leader, IT Service Operations Department: Platform Operation Report To: Manager, IT Service Operations Location: Portsmouth, NH - Hybrid, 3 days per week on site About the Role We are seeking a proactive, organized, and technically strong Team Leader for our IT Service Operations group. In this role, you will oversee the IT Service Desk and Production Support teams, ensuring employees receive high-quality, efficient, and secure technology services throughout their lifecycle. You will serve as a key leader in ITIL processes, outage coordination, endpoint management, and audit readiness-driving operational excellence across the organization. This position participates in a monthly on-call rotation. About Platform Operations Platform Operations is the core engine of our technology organization. We design, maintain, and secure the infrastructure that powers our business-from on-premises systems and cloud environments to endpoint security and service delivery. Our team values automation, innovation, and continuous improvement. We build reliable, scalable platforms that act as strategic assets for growth and performance. Key Responsibilities • Lead daily operations of the IT Service Desk and Production Support teams, including onboarding/offboarding activities and the maintenance of SOPs and user documentation. • Champion ITIL Incident, Request, and Problem Management processes, ensuring SLAs are met and acting as point of escalation. • Oversee the health, patching, and security compliance of physical laptops and VDI environments. • Maintain accurate asset records in the CMDB. Manage hardware and software contracts, ensuring compliance and cost-effective vendor relationships. • Lead major outage calls, coordinating service restoration and conducting root cause analyses. • Serve as the primary contact for IT audits, preparing process documentation and presenting evidence to management and auditors. Required Qualifications • 5+ years of experience in technical IT roles, including 3+ years at a senior, engineering, or lead level. • 3+ years of hands-on Microsoft 365 admin experience (Entra ID, Intune, SharePoint, Exchange). • Strong background in leading outage bridges, presenting technical workflows, and supporting critical business systems. • Experience with disaster recovery planning and execution. • Solid understanding of ITIL v3 or v4 frameworks. Preferred Qualifications • Bachelor's degree in IT, Computer Science, or a related field (preferred). • Experience with Endpoint Management tools (Microsoft Intune preferred). • Familiarity with Azure, AWS, and cloud services. • Certifications such as ITIL Foundation V4 or Microsoft 365 Administrator Expert. • Knowledge of NIST 800-53 Rev 5 security controls. • Experience using ServiceNow ITSM. • Prior leadership experience in IT Service Desk or Operations Support. Skills and Competencies • Advanced proficiency in endpoint management (Intune, Autopilot, MECM). • Strong support experience with critical production business systems. • Expertise across the Microsoft 365 ecosystem and VDI environments. • Knowledge of RBAC, identity lifecycle management, and vulnerability remediation. • Ability to lead confidently during crises and major outages. • Strong analytical problem-solving and root-cause skills. • Clear, concise communication with executives and nontechnical stakeholders. • Passion for coaching and developing technical staff. Why Join Us? This is an opportunity to make a meaningful impact on the infrastructure that powers critical business operations. You'll work alongside talented professionals, contribute to cloud transformation initiatives, and help shape the future of a modern enterprise technology environment. If you're passionate about infrastructure engineering, cloud technologies, operational excellence, and continuous improvement, we'd love to hear from you. Apply today and help build the resilient, secure, and scalable technology foundation that drives our organization forward. At FedPoint , our mission is to create and deliver world-class benefits experiences for our customers, clients, and business partners. We offer a dynamic work environment where innovation and collaboration are encouraged. You'll have the opportunity to make a significant impact while honing your skills and advancing your career. In addition to working for a company with great people and an excellent reputation, what's in it for you? Generous 401k plan: 100% match of employee's contribution, up to a maximum of 6% salary, vests immediately. Bonus Opportunity: Qualifying employees can earn an annual bonus based on company performance. (Inquire about eligibility with our recruiter) Lots of paid time off: 3 weeks' vacation, 7 sick days, 3 personal days, and 12 paid holidays! Competitive benefits include health, dental, vision, disability, life, legal, flexible spending account (FSA) and Health Savings Account (HSA) options. 6 weeks fully paid parental leave. Tuition reimbursement program to support career goals. Corporate giving and matching gifts program. Volunteer program: Paid time off to volunteer and company-organized volunteering opportunities. A wide variety of personal, professional, and career development programs. Comprehensive wellness program offering a variety of resources and activities to help support your well-being in the following areas: career, financial, mental, emotional, physical, social and community. All offers of employment with FedPoint are conditional upon satisfactory completion of a pre-employment background check. FedPoint is an equal opportunity employer as to all protected groups under applicable federal, state and local laws, including protected veterans and individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call . Equal Employment Opportunity (EEO) Poster Family and Medical Leave Act (FMLA) Poster Employee Polygraph Protection Act Poster
09/09/2026
Full time
Job Description Job Description Team Leader, IT Service Operations Department: Platform Operation Report To: Manager, IT Service Operations Location: Portsmouth, NH - Hybrid, 3 days per week on site About the Role We are seeking a proactive, organized, and technically strong Team Leader for our IT Service Operations group. In this role, you will oversee the IT Service Desk and Production Support teams, ensuring employees receive high-quality, efficient, and secure technology services throughout their lifecycle. You will serve as a key leader in ITIL processes, outage coordination, endpoint management, and audit readiness-driving operational excellence across the organization. This position participates in a monthly on-call rotation. About Platform Operations Platform Operations is the core engine of our technology organization. We design, maintain, and secure the infrastructure that powers our business-from on-premises systems and cloud environments to endpoint security and service delivery. Our team values automation, innovation, and continuous improvement. We build reliable, scalable platforms that act as strategic assets for growth and performance. Key Responsibilities • Lead daily operations of the IT Service Desk and Production Support teams, including onboarding/offboarding activities and the maintenance of SOPs and user documentation. • Champion ITIL Incident, Request, and Problem Management processes, ensuring SLAs are met and acting as point of escalation. • Oversee the health, patching, and security compliance of physical laptops and VDI environments. • Maintain accurate asset records in the CMDB. Manage hardware and software contracts, ensuring compliance and cost-effective vendor relationships. • Lead major outage calls, coordinating service restoration and conducting root cause analyses. • Serve as the primary contact for IT audits, preparing process documentation and presenting evidence to management and auditors. Required Qualifications • 5+ years of experience in technical IT roles, including 3+ years at a senior, engineering, or lead level. • 3+ years of hands-on Microsoft 365 admin experience (Entra ID, Intune, SharePoint, Exchange). • Strong background in leading outage bridges, presenting technical workflows, and supporting critical business systems. • Experience with disaster recovery planning and execution. • Solid understanding of ITIL v3 or v4 frameworks. Preferred Qualifications • Bachelor's degree in IT, Computer Science, or a related field (preferred). • Experience with Endpoint Management tools (Microsoft Intune preferred). • Familiarity with Azure, AWS, and cloud services. • Certifications such as ITIL Foundation V4 or Microsoft 365 Administrator Expert. • Knowledge of NIST 800-53 Rev 5 security controls. • Experience using ServiceNow ITSM. • Prior leadership experience in IT Service Desk or Operations Support. Skills and Competencies • Advanced proficiency in endpoint management (Intune, Autopilot, MECM). • Strong support experience with critical production business systems. • Expertise across the Microsoft 365 ecosystem and VDI environments. • Knowledge of RBAC, identity lifecycle management, and vulnerability remediation. • Ability to lead confidently during crises and major outages. • Strong analytical problem-solving and root-cause skills. • Clear, concise communication with executives and nontechnical stakeholders. • Passion for coaching and developing technical staff. Why Join Us? This is an opportunity to make a meaningful impact on the infrastructure that powers critical business operations. You'll work alongside talented professionals, contribute to cloud transformation initiatives, and help shape the future of a modern enterprise technology environment. If you're passionate about infrastructure engineering, cloud technologies, operational excellence, and continuous improvement, we'd love to hear from you. Apply today and help build the resilient, secure, and scalable technology foundation that drives our organization forward. At FedPoint , our mission is to create and deliver world-class benefits experiences for our customers, clients, and business partners. We offer a dynamic work environment where innovation and collaboration are encouraged. You'll have the opportunity to make a significant impact while honing your skills and advancing your career. In addition to working for a company with great people and an excellent reputation, what's in it for you? Generous 401k plan: 100% match of employee's contribution, up to a maximum of 6% salary, vests immediately. Bonus Opportunity: Qualifying employees can earn an annual bonus based on company performance. (Inquire about eligibility with our recruiter) Lots of paid time off: 3 weeks' vacation, 7 sick days, 3 personal days, and 12 paid holidays! Competitive benefits include health, dental, vision, disability, life, legal, flexible spending account (FSA) and Health Savings Account (HSA) options. 6 weeks fully paid parental leave. Tuition reimbursement program to support career goals. Corporate giving and matching gifts program. Volunteer program: Paid time off to volunteer and company-organized volunteering opportunities. A wide variety of personal, professional, and career development programs. Comprehensive wellness program offering a variety of resources and activities to help support your well-being in the following areas: career, financial, mental, emotional, physical, social and community. All offers of employment with FedPoint are conditional upon satisfactory completion of a pre-employment background check. FedPoint is an equal opportunity employer as to all protected groups under applicable federal, state and local laws, including protected veterans and individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call . Equal Employment Opportunity (EEO) Poster Family and Medical Leave Act (FMLA) Poster Employee Polygraph Protection Act Poster
Job Description Job Description Work Arrangement: Dallas-based / Hybrid Visa Sponsorship: Not available. Candidates must already be authorized to work in the United States without current or future employer sponsorship. Job Summary We are seeking a highly experienced Senior MLOps Engineer with strong hands-on Snowflake experience to support enterprise machine learning platforms and production ML workloads. The ideal candidate has hands-on experience taking machine learning models from experimentation through production and building the deployment pipelines, monitoring, automation, infrastructure, and governance capabilities required to operate ML solutions reliably at enterprise scale. This role will work closely with Data Scientists, ML Engineers, Data Engineers, Cloud Engineers, and enterprise platform teams. Key Responsibilities Design, build, and maintain enterprise-grade MLOps platforms and pipelines. Operationalize machine learning models developed by Data Science teams. Build automated ML workflows covering training, validation, deployment, monitoring, retraining, and retirement. Implement CI/CD pipelines specifically for machine learning workloads. Establish model registry, versioning, lineage, artifact management, and reproducibility. Implement model monitoring, data drift detection, model drift detection, prediction-quality monitoring, and alerting. Integrate ML workloads with Snowflake-based enterprise data environments . Build and optimize Python- and SQL-based data and ML pipelines. Support Snowflake data ingestion, transformation, compute, security, and ML integrations. Containerize ML workloads using Docker and deploy workloads through Kubernetes or comparable orchestration platforms. Implement logging, observability, alerting, and production support processes. Automate deployment and infrastructure provisioning using modern DevOps and Infrastructure-as-Code practices. Support model governance, approval workflows, lineage, auditability, and access controls. Troubleshoot production ML pipelines, model-serving infrastructure, Snowflake integrations, and performance issues. Develop reusable MLOps frameworks, standards, templates, and best practices. Mandatory Qualifications Candidates must have hands-on production experience in both MLOps and Snowflake . MLOps - Required Strong production experience with: ML model deployment and operationalization Model lifecycle management ML CI/CD Experiment tracking Model registry and versioning Automated model validation Model monitoring Data and model drift detection Retraining pipelines Pipeline orchestration Production troubleshooting Experience with one or more of the following: ML flow Kubeflow AWS SageMaker Azure Machine Learning Airflow Argo Workflows Prefect Dagster Equivalent enterprise MLOps platforms Snowflake - Required Strong hands-on Snowflake experience including: Snowflake architecture Databases, schemas, tables, and views Virtual warehouses Compute management Snowflake security and RBAC Data ingestion and transformation Performance optimization Python integration Snowflake integration with ML pipelines Experience with the following is strongly preferred: Snowpark Snowpark Python Snowflake ML Snowflake Model Registry Snowflake Feature Store Snowflake Tasks and Streams Dynamic Tables Snowpipe Cortex / Snowflake AI capabilities Additional Required Technical Skills Strong Python Strong SQL Git REST APIs Linux Shell scripting Docker CI/CD Cloud platforms such as AWS, Azure, or GCP Preferred Skills Experience with: Kubernetes Terraform GitHub Actions Jenkins GitLab CI/CD Azure DevOps dbt Spark Kafka Grafana CloudWatch Evidently Education and Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Machine Learning, or related field. 6+ years of software, cloud, data, or ML engineering experience. 3+ years of hands-on production MLOps experience. Strong hands-on Snowflake experience. Experience deploying ML models into production. Experience implementing ML CI/CD pipelines. Strong Python and SQL skills. Experience with Docker and cloud infrastructure. Work Authorization This position does not provide visa sponsorship. Candidates must be currently authorized to work in the United States without employer sponsorship and must not require sponsorship now or in the future. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it.
09/09/2026
Full time
Job Description Job Description Work Arrangement: Dallas-based / Hybrid Visa Sponsorship: Not available. Candidates must already be authorized to work in the United States without current or future employer sponsorship. Job Summary We are seeking a highly experienced Senior MLOps Engineer with strong hands-on Snowflake experience to support enterprise machine learning platforms and production ML workloads. The ideal candidate has hands-on experience taking machine learning models from experimentation through production and building the deployment pipelines, monitoring, automation, infrastructure, and governance capabilities required to operate ML solutions reliably at enterprise scale. This role will work closely with Data Scientists, ML Engineers, Data Engineers, Cloud Engineers, and enterprise platform teams. Key Responsibilities Design, build, and maintain enterprise-grade MLOps platforms and pipelines. Operationalize machine learning models developed by Data Science teams. Build automated ML workflows covering training, validation, deployment, monitoring, retraining, and retirement. Implement CI/CD pipelines specifically for machine learning workloads. Establish model registry, versioning, lineage, artifact management, and reproducibility. Implement model monitoring, data drift detection, model drift detection, prediction-quality monitoring, and alerting. Integrate ML workloads with Snowflake-based enterprise data environments . Build and optimize Python- and SQL-based data and ML pipelines. Support Snowflake data ingestion, transformation, compute, security, and ML integrations. Containerize ML workloads using Docker and deploy workloads through Kubernetes or comparable orchestration platforms. Implement logging, observability, alerting, and production support processes. Automate deployment and infrastructure provisioning using modern DevOps and Infrastructure-as-Code practices. Support model governance, approval workflows, lineage, auditability, and access controls. Troubleshoot production ML pipelines, model-serving infrastructure, Snowflake integrations, and performance issues. Develop reusable MLOps frameworks, standards, templates, and best practices. Mandatory Qualifications Candidates must have hands-on production experience in both MLOps and Snowflake . MLOps - Required Strong production experience with: ML model deployment and operationalization Model lifecycle management ML CI/CD Experiment tracking Model registry and versioning Automated model validation Model monitoring Data and model drift detection Retraining pipelines Pipeline orchestration Production troubleshooting Experience with one or more of the following: ML flow Kubeflow AWS SageMaker Azure Machine Learning Airflow Argo Workflows Prefect Dagster Equivalent enterprise MLOps platforms Snowflake - Required Strong hands-on Snowflake experience including: Snowflake architecture Databases, schemas, tables, and views Virtual warehouses Compute management Snowflake security and RBAC Data ingestion and transformation Performance optimization Python integration Snowflake integration with ML pipelines Experience with the following is strongly preferred: Snowpark Snowpark Python Snowflake ML Snowflake Model Registry Snowflake Feature Store Snowflake Tasks and Streams Dynamic Tables Snowpipe Cortex / Snowflake AI capabilities Additional Required Technical Skills Strong Python Strong SQL Git REST APIs Linux Shell scripting Docker CI/CD Cloud platforms such as AWS, Azure, or GCP Preferred Skills Experience with: Kubernetes Terraform GitHub Actions Jenkins GitLab CI/CD Azure DevOps dbt Spark Kafka Grafana CloudWatch Evidently Education and Experience Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Machine Learning, or related field. 6+ years of software, cloud, data, or ML engineering experience. 3+ years of hands-on production MLOps experience. Strong hands-on Snowflake experience. Experience deploying ML models into production. Experience implementing ML CI/CD pipelines. Strong Python and SQL skills. Experience with Docker and cloud infrastructure. Work Authorization This position does not provide visa sponsorship. Candidates must be currently authorized to work in the United States without employer sponsorship and must not require sponsorship now or in the future. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it. Company Description About KAPI Advisors LLC KAPI Advisors LLC is a forward-thinking boutique firm at the intersection of AI, Machine Learning, Data Analytics, Generative AI, Mathematical Optimization, and Cloud Platform Engineering. We build highly personalized, cutting-edge solutions tailored to the specific needs of each client - empowering organizations with powerful tools to unlock new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI Advisors, we are passionate about solving complex, real-world challenges through technology. Our capabilities span intelligent agent-based systems, advanced data analytics, optimization algorithms, and robust cloud infrastructure - all designed to work together seamlessly. Our offerings include Generative AI systems that enable automation and intelligent decision-making, ML models that surface actionable insights, Mathematical Optimization techniques for supply chain management, resource allocation, and logistics, and Site Reliability Engineering practices that ensure the platforms powering these solutions remain performant, resilient, and production-ready. We believe that great AI and data products are only as strong as the infrastructure beneath them. That's why our SRE and DevOps practice is central to everything we build - from designing observability frameworks and incident response playbooks, to implementing chaos engineering, disaster recovery, and developer productivity tooling that reduces toil and accelerates delivery. As a boutique firm, we offer the agility and depth that larger organizations simply cannot match. Our team works directly with clients to understand their unique challenges and craft tailored strategies that deliver both immediate impact and long-term resilience. Whether you're looking to scale an AI platform, modernize your cloud infrastructure, or build the reliability engineering culture your engineering team deserves - KAPI Advisors is the partner built for it.
Job Description Job Description Senior Performance Engineer (Renewable Energy) Location: Houston, TX, 77079 Travel: Approximately 15% Pay Rate: Starting at 150,000 per year (DOE) Opportunity Type: Direct Hire The Opportunity We're looking for an engineer who goes beyond identifying problems and knows how to solve them. In this role, you'll be the go-to expert for wind turbine controls, software, performance, and troubleshooting. You'll analyze operational data, investigate production losses, resolve recurring faults, and drive initiatives that improve turbine availability, reliability, and energy output across a renewable energy fleet. This position is ideal for someone with hands-on experience supporting Vestas and/or Siemens Gamesa turbines, managing control parameters, and turning technical insights into measurable performance improvements. What You'll Do Serve as the SME for wind turbine software, controls, parameters, and operability. Identify and resolve production losses caused by faults, derates, power curve issues, and equipment underperformance. Analyze SCADA and operational data to uncover trends and improvement opportunities. Manage turbine software and control parameter configurations to optimize performance. Lead performance reviews and collaborate with operations, engineering, and field teams. Develop tools, metrics, and dashboards that improve fleet visibility and decision-making. Drive initiatives that increase asset availability, efficiency, and generation output. What We're Looking For Bachelor's degree in Engineering, Computer Science, or a related technical field. 7+ years of experience in renewable energy performance, operations, or engineering. Strong background in wind turbine controls, SCADA systems, and performance analytics. Proven ability to troubleshoot complex operational and performance issues. Experience reading and interpreting technical drawings and equipment documentation. Strong communication skills and the ability to lead cross-functional initiatives. Highly Preferred Direct experience with Vestas and/or Siemens Gamesa turbine platforms. Hands-on controls, software, and turbine troubleshooting experience. Knowledge of turbine control logic, parameter management, and performance optimization. Experience with Power BI, SQL, Python, Tableau, PI, Power Factors, Bazefield, or similar platforms. Additional Information Local candidates only. No relocation assistance available. This is a highly technical role focused on improving fleet performance, increasing generation, and solving the root causes of lost production. Your impact will be measured in reliability gains, recovered MWh, and operational excellence.
09/09/2026
Full time
Job Description Job Description Senior Performance Engineer (Renewable Energy) Location: Houston, TX, 77079 Travel: Approximately 15% Pay Rate: Starting at 150,000 per year (DOE) Opportunity Type: Direct Hire The Opportunity We're looking for an engineer who goes beyond identifying problems and knows how to solve them. In this role, you'll be the go-to expert for wind turbine controls, software, performance, and troubleshooting. You'll analyze operational data, investigate production losses, resolve recurring faults, and drive initiatives that improve turbine availability, reliability, and energy output across a renewable energy fleet. This position is ideal for someone with hands-on experience supporting Vestas and/or Siemens Gamesa turbines, managing control parameters, and turning technical insights into measurable performance improvements. What You'll Do Serve as the SME for wind turbine software, controls, parameters, and operability. Identify and resolve production losses caused by faults, derates, power curve issues, and equipment underperformance. Analyze SCADA and operational data to uncover trends and improvement opportunities. Manage turbine software and control parameter configurations to optimize performance. Lead performance reviews and collaborate with operations, engineering, and field teams. Develop tools, metrics, and dashboards that improve fleet visibility and decision-making. Drive initiatives that increase asset availability, efficiency, and generation output. What We're Looking For Bachelor's degree in Engineering, Computer Science, or a related technical field. 7+ years of experience in renewable energy performance, operations, or engineering. Strong background in wind turbine controls, SCADA systems, and performance analytics. Proven ability to troubleshoot complex operational and performance issues. Experience reading and interpreting technical drawings and equipment documentation. Strong communication skills and the ability to lead cross-functional initiatives. Highly Preferred Direct experience with Vestas and/or Siemens Gamesa turbine platforms. Hands-on controls, software, and turbine troubleshooting experience. Knowledge of turbine control logic, parameter management, and performance optimization. Experience with Power BI, SQL, Python, Tableau, PI, Power Factors, Bazefield, or similar platforms. Additional Information Local candidates only. No relocation assistance available. This is a highly technical role focused on improving fleet performance, increasing generation, and solving the root causes of lost production. Your impact will be measured in reliability gains, recovered MWh, and operational excellence.
LevelTen Energy seeks a Senior AI Solutions Engineer to design and deploy AI-powered features for our renewable energy marketplace. You will partner with product, data, and energy experts to build models that optimize clean energy procurement, pricing, and risk, and integrate them into scalable production systems. Responsibilities include end-to-end ML solution design, data engineering, API and microservice development, and MLOps. You'll mentor engineers, champion best practices, and use advanced analytics to accelerate the global clean energy transition in a collaborative, mission-driven environment. Responsibilities Design, build, and deploy AI/ML solutions for Level Ten's renewable energy marketplace Collaborate with product, data, and energy experts to translate business needs into technical AI solutions Develop and maintain scalable data pipelines, APIs, and microservices for AI features Implement MLOps practices for model training, deployment, monitoring, and lifecycle management Analyze energy market data to improve forecasting, pricing, and risk assessment models Ensure reliability, security, and performance of AI services in a cloud environment Mentor engineers and promote best practices in AI engineering and software design Contribute to technical strategy for AI across the platform to support clean energy procurement Required Skills Python Machine learning model development MLOps (CI/CD for ML) Cloud platforms (AWS/Azure/GCP) Data engineering (ETL, SQL) API and microservices design Distributed systems Energy/utility market analytics Containerization (Docker/Kubernetes) Data visualization and analytics tools
09/09/2026
Full time
LevelTen Energy seeks a Senior AI Solutions Engineer to design and deploy AI-powered features for our renewable energy marketplace. You will partner with product, data, and energy experts to build models that optimize clean energy procurement, pricing, and risk, and integrate them into scalable production systems. Responsibilities include end-to-end ML solution design, data engineering, API and microservice development, and MLOps. You'll mentor engineers, champion best practices, and use advanced analytics to accelerate the global clean energy transition in a collaborative, mission-driven environment. Responsibilities Design, build, and deploy AI/ML solutions for Level Ten's renewable energy marketplace Collaborate with product, data, and energy experts to translate business needs into technical AI solutions Develop and maintain scalable data pipelines, APIs, and microservices for AI features Implement MLOps practices for model training, deployment, monitoring, and lifecycle management Analyze energy market data to improve forecasting, pricing, and risk assessment models Ensure reliability, security, and performance of AI services in a cloud environment Mentor engineers and promote best practices in AI engineering and software design Contribute to technical strategy for AI across the platform to support clean energy procurement Required Skills Python Machine learning model development MLOps (CI/CD for ML) Cloud platforms (AWS/Azure/GCP) Data engineering (ETL, SQL) API and microservices design Distributed systems Energy/utility market analytics Containerization (Docker/Kubernetes) Data visualization and analytics tools
CF Industries is seeking an Operator to support our Seneca technology operations. In this role, you will monitor and manage software systems, ensure reliable application performance, and troubleshoot incidents in real time. You'll collaborate with developers and IT teams, document processes, and help implement automation to improve stability and efficiency. Our culture values innovation, inclusivity, and continuous learning, offering opportunities to grow your technical skills and contribute to impactful, global software solutions. Responsibilities Monitor and manage production software systems and infrastructure for performance and availability. Respond to, troubleshoot, and resolve incidents within defined SLAs. Collaborate with developers and IT teams to diagnose root causes and implement fixes. Document operational procedures, incidents, and system changes. Implement and maintain scripts and automation to improve reliability and efficiency. Perform routine health checks, deployments, and configuration updates. Escalate complex issues to senior engineers and vendors when required. Contribute to continuous improvement of monitoring, alerting, and runbooks. Required Skills System monitoring Incident management Application support Linux/Windows administration Scripting (Python, Bash, or Power Shell) SQL and database basics Cloud platforms (AWS/Azure/GCP) Automation tools (CI/CD, monitoring) ITIL or service management Technical documentation
09/09/2026
Full time
CF Industries is seeking an Operator to support our Seneca technology operations. In this role, you will monitor and manage software systems, ensure reliable application performance, and troubleshoot incidents in real time. You'll collaborate with developers and IT teams, document processes, and help implement automation to improve stability and efficiency. Our culture values innovation, inclusivity, and continuous learning, offering opportunities to grow your technical skills and contribute to impactful, global software solutions. Responsibilities Monitor and manage production software systems and infrastructure for performance and availability. Respond to, troubleshoot, and resolve incidents within defined SLAs. Collaborate with developers and IT teams to diagnose root causes and implement fixes. Document operational procedures, incidents, and system changes. Implement and maintain scripts and automation to improve reliability and efficiency. Perform routine health checks, deployments, and configuration updates. Escalate complex issues to senior engineers and vendors when required. Contribute to continuous improvement of monitoring, alerting, and runbooks. Required Skills System monitoring Incident management Application support Linux/Windows administration Scripting (Python, Bash, or Power Shell) SQL and database basics Cloud platforms (AWS/Azure/GCP) Automation tools (CI/CD, monitoring) ITIL or service management Technical documentation
