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We're seeking a Software Development Engineer to join the AWS Quick RAG team, working on cutting-edge retrieval-augmented generation technology that powers Amazon Quick Suite's intelligent document processing and search capabilities. You'll design and build scalable ingestion pipelines that handle multi-modal content (PDF, audio, video, tables) using computer vision and machine learning, optimize system performance for millions of documents, and collaborate across teams to deliver features that directly impact customer experience. This role offers the opportunity to work with modern AWS technologies including Bedrock, ECS, and DynamoDB while solving complex distributed systems challenges at scale. Key job responsibilities As a Software Development Engineer, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base. In this role, you will collaborate closely with your team to influence our overall strategy and define the team's road map. You will also drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment. A day in the life As a Software Development Engineer on the AWS Quick RAG team, you'll start your day reviewing system metrics and performance dashboards to ensure our ingestion pipelines are processing millions of documents efficiently. You'll spend time coding-whether building new features for multi-modal content processing, optimizing retrieval algorithms, or debugging complex distributed systems issues. Throughout the day, you'll collaborate with applied scientists on machine learning model integration, participate in design reviews with partner teams, and contribute to architectural decisions that shape how customers interact with their data. You'll also mentor junior engineers through code reviews and technical discussions, balancing hands-on development with the opportunity to influence the technical direction of a product used by thousands of enterprise customers. About the team The AWS Quick RAG team is responsible for building and maintaining the intelligent document processing backbone of Amazon Quick Suite. We develop scalable ingestion pipelines that handle millions of documents across multiple modalities-PDF, audio, video, tables, and more-using advanced computer vision and machine learning techniques. Our work directly powers Quick Suite's search and retrieval capabilities, enabling enterprise customers to unlock insights from their data. We're a collaborative, innovation-driven team that values technical excellence, operational rigor, and customer obsession, working closely with applied scientists, product managers, and partner teams across AWS to deliver features that transform how organizations interact with their information. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Our consultants on the AI and Data Defense and Security team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve budget justifications and decision-making. This individual will support organizational and mission goals within the Department of Homeland Security (DHS). This role requires hands on technical expertise and strong communication skills. Responsibilities include, but are not limited to: Design and development of data visualization and dashboard solutions to provide required analytics insights using Power BI Leading and reviewing, data cleaning scripts using tools such as Python Maintain and enhance dashboards, analytics solutions, and reporting tools used in operational and strategic decision-making Balance competing priorities including to supporting quick turn and ad hoc requests Focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development Support business development (such as RFP, RFQ, and RFI responses and white papers), internal firm initiatives, and ongoing professional development What You Will Need: Ability to OBTAIN and MAINTAIN a Federal or DHS Public Trust Bachelors Degree FIVE (5) or more years of experience in data analytics, data science, business analytics or data engineering What Would Be Nice to Have: Strong communication and presentation skills and ability to explain technical topics to non-technical audiences Experience working with financial and budget data Strong UI/UX capabilities for dashboard development Familiarity with PowerApps Familiarity with cloud-based analytics environments (such as, Databricks, Palantir, AWS, Azure, or Google) Experience performing analytics and data transformation using Python and R Ability to gather requirements and present to clients with strong written and verbal communication skills Knowledge of ETL/ELT processes and tools for data integration Experience with budget, financial management, and workload modeling The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $275,000 per year A bit about us: We are partnering with a rapidly growing, venture-backed technology company operating at the intersection of Artificial Intelligence and cybersecurity to hire an AI Solutions Architect focused on Federal customers. This is not a traditional Solutions Architect position where you simply deliver presentations and hand opportunities back to Engineering. We are looking for someone who can architect, build, deploy, demonstrate, and troubleshoot real AI solutions while working directly with mission owners across the Intelligence Community, Department of Defense, DHS, and civilian federal agencies. You will serve as the technical lead throughout the customer journey-from initial discovery and architecture discussions through proof-of-value, deployment, integration, and technical win. The right person will be equally comfortable writing Python, deploying Kubernetes into an air-gapped environment, building an AI proof of concept, whiteboarding an architecture, and presenting the solution to senior government stakeholders. Why join us? You'll join a well-funded, rapidly scaling company building technology in one of the most important emerging areas of cybersecurity: protecting AI systems themselves. The company has recently completed a significant new funding round and is continuing to expand its engineering, product, and federal organizations. The opportunity offers: Fully remote work within the United States Significant exposure to cutting-edge AI and cybersecurity technology Direct involvement with important federal AI initiatives High technical autonomy and ownership Opportunity to work closely with Product, Research, Engineering, and customers Flexible paid time off Company holidays Home-office and connectivity support Dedicated learning and development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. Job Details What You'll Do Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges into clearly scoped technical evaluations and proof-of-value engagements. Establish measurable success criteria, timelines, technical requirements, and exit conditions. Serve as a trusted technical advisor and provide candid guidance around where the platform is-and is not-the right solution. Architect & Deploy Real Solutions: Architect and deploy an enterprise AI security platform across both connected SaaS and fully disconnected/air-gapped environments. Package and transfer container images, Helm charts, dependencies, and supporting artifacts into environments with limited or no internet connectivity. Deploy and administer Kubernetes-based environments utilizing technologies such as: Kubernetes Docker Helm Private container registries OpenShift VMware / Proxmox AWS, including government and restricted environments Troubleshoot deployment, networking, integration, and infrastructure issues during customer evaluations and initial implementations. Work directly with SDKs and APIs to build meaningful integrations into customer environments. Build AI Demonstrations & Proofs of Concept: Develop mission-focused AI applications and technical demonstrations involving: Large Language Models Agentic AI Computer Vision Model inference Retrieval/RAG architectures AI/ML pipelines Demonstrate how AI systems can be attacked, compromised, or manipulated-and how those systems can be protected. Integrate AI security capabilities throughout the ML lifecycle, including model scanning, CI/CD pipelines, application security, runtime detection, and response. Build credible demonstrations that resonate with engineers and mission owners rather than relying on canned sales demos. Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference pipelines Model supply chains AI infrastructure Production AI workloads Apply established security concepts and frameworks including: MITRE ATLAS OWASP Top 10 for LLM Applications NIST AI Risk Management Framework Adversarial machine learning concepts and attack methodologies Communicate & Influence: Deliver live technical demonstrations, architecture sessions, whiteboard discussions, and executive briefings. Present effectively to audiences ranging from ML engineers and data scientists to cybersecurity leaders and senior executives. Create technical evaluation reports, reference architectures, deployment documentation, and integration guides. Represent the organization at federal engagements, conferences, webinars, and industry events. Translate lessons learned in the field into reusable demonstrations, technical enablement, and feedback for Product, Research, and Engineering. What We're Looking For We are looking for a highly technical, customer-facing architect who has actually worked inside federal environments and understands the realities of deploying sophisticated technology into government infrastructure. Ideal candidates will bring: 5+ years of experience in Solutions Architecture, Solutions Engineering, Applied AI Engineering, ML Engineering, or a similar customer-facing technical role. Direct experience supporting federal customers across the Intelligence Community, DoD, DHS, or civilian agencies. Experience operating within federal missions-not simply selling technology into federal accounts. Strong hands-on Python development skills. Practical experience building and integrating modern AI/ML systems. Experience with technologies and concepts such as: PyTorch Hugging Face ONNX LLM APIs Model inference RAG Agentic AI architectures AI/ML pipelines Strong hands-on experience with Docker, Kubernetes, and Helm. Experience deploying applications into restricted, disconnected, or air-gapped environments. Understanding of MLOps, CI/CD, and the lifecycle of models from development through production. Working knowledge of cybersecurity and AI security concepts. Strong technical presentation and communication skills. Ability to take an ambiguous customer problem and independently turn it into an executable technical plan. Ability and willingness to travel for customer engagements and industry events. Especially Valuable Experience: Additional experience in any of the following areas would be highly desirable: Active Top Secret or higher-level security clearance. Supporting AI/ML programs in classified environments. Securing production AI or machine-learning systems. AI/LLM red teaming or adversarial machine learning. AI security or AI evaluation tooling. Model formats and AI supply-chain security, including: ONNX SafeTensors GGUF Pickle-based serialization AWS GovCloud or other government cloud environments. OpenShift and private Kubernetes environments. Federal cybersecurity or compliance frameworks. Certifications such as Kubernetes, AWS, Azure, CISSP, or Security+. Public technical work including GitHub repositories, Hugging Face projects, conference presentations, open-source contributions, or technical writing. The Type of Person Who Will Thrive Here: This organization moves quickly and operates much more like a high-growth technology company than a traditional government contractor. We're looking for someone who enjoys solving problems without a perfectly defined playbook. You should be someone who can walk into an ambiguous federal mission problem, ask the right questions, architect a solution, stand up the environment, write the integration, demonstrate it live, troubleshoot what breaks, and explain the outcome to both engineers and executives. Intellectual curiosity is especially important. The strongest candidates are typically people who are constantly experimenting-building side projects, maintaining home labs, testing new AI frameworks, contributing to open source, publishing technical content, or simply teaching themselves technologies because they want to understand how they work. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes . click apply for full job details

We're seeking a Software Development Engineer to join the AWS Quick RAG team, working on cutting-edge retrieval-augmented generation technology that powers Amazon Quick Suite's intelligent document processing and search capabilities. You'll design and build scalable ingestion pipelines that handle multi-modal content (PDF, audio, video, tables) using computer vision and machine learning, optimize system performance for millions of documents, and collaborate across teams to deliver features that directly impact customer experience. This role offers the opportunity to work with modern AWS technologies including Bedrock, ECS, and DynamoDB while solving complex distributed systems challenges at scale. Key job responsibilities As a Software Development Engineer, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base. In this role, you will collaborate closely with your team to influence our overall strategy and define the team's road map. You will also drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment. A day in the life As a Software Development Engineer on the AWS Quick RAG team, you'll start your day reviewing system metrics and performance dashboards to ensure our ingestion pipelines are processing millions of documents efficiently. You'll spend time coding-whether building new features for multi-modal content processing, optimizing retrieval algorithms, or debugging complex distributed systems issues. Throughout the day, you'll collaborate with applied scientists on machine learning model integration, participate in design reviews with partner teams, and contribute to architectural decisions that shape how customers interact with their data. You'll also mentor junior engineers through code reviews and technical discussions, balancing hands-on development with the opportunity to influence the technical direction of a product used by thousands of enterprise customers. About the team The AWS Quick RAG team is responsible for building and maintaining the intelligent document processing backbone of Amazon Quick Suite. We develop scalable ingestion pipelines that handle millions of documents across multiple modalities-PDF, audio, video, tables, and more-using advanced computer vision and machine learning techniques. Our work directly powers Quick Suite's search and retrieval capabilities, enabling enterprise customers to unlock insights from their data. We're a collaborative, innovation-driven team that values technical excellence, operational rigor, and customer obsession, working closely with applied scientists, product managers, and partner teams across AWS to deliver features that transform how organizations interact with their information. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Emerging Tech (Physical AI, Robotics and Supply Chain) Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives-with a specialized focus on Physical AI, robotics, simulation, and supply chain transformation including warehousing and assembly/production line environments. You'll drive customer success by providing technical expertise and best practices throughout the project lifecycle. You have built a deep solutions implementation and delivery understanding of Physical AI's building blocks-AI for Automation, digital twin, robotics, edge solutions, simulation, and autonomous systems-as well as supply chain technologies. Proficient in architecting and deploying autonomous systems, robotics, simulation, digital twins, and industrial AI workloads on AWS, you'll provide a secure, reliable, and scalable Physical AI infrastructure for innovation by our customers. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Architecting and delivering Physical AI solutions on AWS-including digital twin environments, discrete event simulation, robotic policy training pipelines, edge inference, and autonomous system deployments for manufacturing, logistics, and warehousing customers - Engaging with customers end-to-end: from pre-sales discovery and requirements gathering through solution design, implementation, testing, and production handoff - Designing and implementing simulation and synthetic data pipelines using tools such as NVIDIA Omniverse, Isaac Sim, and AWS-native services (SageMaker, IoT, Greengrass, VAMS) to train and validate robotic and autonomous systems - Providing subject matter expertise on warehousing, fulfillment, and production line transformation-conducting on-site assessments, identifying automation opportunities, and building customer trust through demonstrated domain knowledge - Developing packaged offerings, reusable delivery accelerators, reference architectures, and training materials in the supply chain and Physical AI space to support delivery teams and go-to-market motions A day in the life This team partners with our customers to increase their shareholder value and assist in disrupting their business models. We enable our customers to drive competitive advantage by enhancing their digital capabilities that will enable them to innovate on new products and services. Our key focus areas include: Emerging technologies including supply chain innovation, high-performance computing (HPC), quantum computing, spatial computing, robotics, blockchain, IoT, end-user computing, media solutions, and other innovative technologies that represent strategic innovation areas for our customers. About the team You'll join the ProServe Emerging Tech practice, a team focused on helping customers across manufacturing, logistics, and supply chain industries adopt Physical AI, robotics, and simulation technologies on AWS. We work directly with customers to solve real-world automation problems-from warehouse optimization to production line transformation-and you'll collaborate with cross-functional teams including solution architects, data scientists, and partner engineers. Our team values hands-on builders who are curious about the intersection of physical and digital systems, and we're committed to creating an environment where every team member can grow, contribute, and innovate. ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 10046 BASIC QUALIFICATIONS- Bachelor's degree in computer science, engineering, mathematics or equivalent - 5+ years of cloud architecture and solution implementation experience - Experience in a customer-facing role, engaging with customer executives, technologists or partners to solve business problems with advanced technologies - 7+ years of experience building solutions for IoT, robotics, simulation, autonomous systems, or edge computing in industrial or supply chain environments - 3+ years of experience implementing Physical AI or robotics projects including at least one of: digital twin environments, robotic policy training, discrete event simulation, or autonomous vehicle/system deployment PREFERRED QUALIFICATIONS- Experience communicating technical concepts to a non-technical audience - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certification or graduate degree in robotics, engineering, computer science, or related field - Experience architecting Physical AI systems using simulation platforms (NVIDIA Omniverse, Isaac Sim) and AWS services (SageMaker, IoT Greengrass, VAMS) for robotic model training and digital twin deployment - Experience with generative AI and agentic workflows applied to industrial automation, including architecture design, model integration, and synthetic data generation - Familiarity with OpenUSD (Universal Scene Description), computer vision, and robotics safety engineering standards Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental . click apply for full job details

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director of Data Science, are you ready to lead the charge in transforming a major enterprise through the power of Generative AI, LLMs, and autonomous agent ecosystems? We are seeking a visionary Director of Data Science to architect and scale our next-generation AI capabilities. In this role, you will lead a high-performing team responsible for building reusable, horizontal AI platforms and solutions that drive enterprise-wide automation, innovation, and strategic differentiation. You possess the agility to navigate rapidly shifting AI paradigms, the architectural vision to design scalable systems from ideation to production-grade performance, and the leadership to bridge the gap between cutting-edge research and core business value. If you thrive at the intersection of AI strategy, technical execution, and organizational transformation, we want you to lead our future. What you will do: Acts as an enterprise AI thought leader and strategic advisor, shaping how the organization leverages generative AI, LLMs, and agentic workflows to drive competitive advantage and market differentiation. Influences business, data, and technology executives to invest in, scale, and future-proof enterprise-wide horizontal AI capabilities through active participation in strategy, planning, and budgeting. Directs and empowers a team of AI/Data Scientists and engineers to build and deploy scalable LLM applications, RAG pipelines, and autonomous agent systems in a fast-paced, agile environment. Architecturally guides the team from ideation to performant production solutions, optimizing the AI lifecycle from prompt engineering and context management to model evaluation and inference cost-efficiency. Champions the creation of modular, reusable horizontal AI capabilities and services that can be leveraged horizontally across disparate business units to solve complex challenges. Partners closely with Enterprise Architecture and IT to establish modern AI infrastructure, tooling pipelines, and scalable cloud/on-premise deployment standards. Ensures all AI models, agentic workflows, and generative solutions strictly adhere to emerging AI safety guidelines, model risk management (MRM) frameworks, data governance, and regulatory compliance. Identifies and secures strategic resource needs, ranging from next-gen LLM API integrations and specialized 3rd-party toolsets to specialized hardware and talent investments. Builds, inspires, and scales a world-class team of AI talent through intentional recruiting, technical mentorship, coaching, and performance management. Ensures risks associated with AI operations (e.g., hallucinations, data leakage, security vulnerabilities, and autonomous agent drift) are effectively identified, measured, monitored, and controlled. What you have: 8+ years of progressive experience in machine learning, advanced data science, and AI development-with a strong recent emphasis on deploying Generative AI, LLMs, or agentic systems to production-OR an Advanced Degree (Master's or PhD) in Computer Science, AI, Data Science, or a quantitative STEM field with 6+ years of relevant experience. 3+ years of direct people leadership experience, building, managing, and inspiring high-performing technical teams in rapidly evolving tech landscapes. Proven track record of architecting and delivering scalable, high-performance horizontal AI platforms or reusable capabilities that drive cross-enterprise transformation. Exceptional strategic agility and flexibility, with a demonstrated history of successfully pivoting technical strategies and teams in response to rapid paradigm shifts in the AI ecosystem. Deep technical background in modern AI frameworks and methodologies (e.g., LangChain, LlamaIndex, vector databases, fine-tuning, RAG architectures, prompt engineering patterns, and multi-agent orchestration). Comprehensive understanding of AI governance, risk mitigation (guardrails, prompt injection defense, alignment), model risk policies, and compliance expectations for automated and autonomous systems. Exceptional executive communication skills; a proven track record of translating complex AI architectures, ROI metrics, and technical roadmaps into compelling narratives for Senior Executive Management and non-technical stakeholders. Compensation range: The salary range for this position is: $189,370 - $361,950 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Future Java, Data, and AI Professionals - Start Your Tech Career With a Process If you are serious about launching a career in tech, do not rely only on random applications, scattered tutorials, or hope. The candidates who stand out usually have current skills, strong projects, interview confidence, and a clear story about the value they can bring. That is especially important in competitive entry-level and junior hiring. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): Explore JOPP: Reviews: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? SynergisticIT is looking for candidates interested in entry-level software programming, Java full-stack development, Python/Java development, DevOps, data analysis, BI, data engineering, data science, machine learning, and AI programming. This opportunity is ideal for recent graduates, bootcamp graduates, career changers, laid-off candidates, and job seekers with limited experience. SynergisticIT JOPP is good for candidates because it is built around job readiness and placement-focused preparation. It helps candidates strengthen technical skills, build project proof, improve resume positioning, prepare for interviews, and approach the job market with a structured plan. Start your tech career with a process-not guesswork. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Stop Applying Randomly and Start Building a Strategy A computer science degree is valuable, but many recent graduates Explore that a degree alone does not automatically lead to interviews. Employers often expect candidates to show practical skills, project depth, interview confidence, and familiarity with tools used in real software or data teams. If your applications are not converting, your profile may need stronger job-ready proof. SynergisticIT is looking for recent graduates interested in Java, Python, full-stack development, DevOps, SQL, data analytics, data science, machine learning, and AI programming. This opportunity is a strong fit for bachelor's and master's graduates in computer science, engineering, math, statistics, information systems, or related fields. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): Explore JOPP: Reviews: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? SynergisticIT JOPP is useful because it helps candidates organize their career launch around a process. The focus is not just learning more-it is learning what matters for hiring, building projects that demonstrate capability, improving resume alignment, preparing for technical interviews, and approaching the job market with structure. If you are ready to move from graduate to job-ready candidate, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Your Tech Career Is Still Within Reach? Rebuild Momentum With a Placement Process Even if you've been rejected, laid off, or out of the field for years, your tech career is still within reach. SynergisticIT helps you rebuild your confidence and sharpen your skills through hands on real world projects. You'll also receive interview coaching and resume optimization that highlight your strengths. Also get marketed directly to Fortune 500 companies, giving you access to opportunities that most job seekers never see. Your career isn't over - it's waiting for the right opportunity. Synergisticit helps you reach it faster. A career gap doesn't disqualify you - outdated skills do. But the job market can still feel brutal: you apply daily, watch automated rejections roll in, and wonder why your experience isn't translating into interviews. The truth is that hiring has shifted. Employers want candidates who match current stacks, show recent hands-on proof, and interview strongly. If you've been out for 3-6+ months, that gap can become an extra filter-unless you deliberately rebuild momentum. We're actively engaging candidates for full-time opportunities aligned to client needs: software programming, Java full stack development, Java/Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML/AI. Our primary focus remains Java/Full Stack/DevOps and Data/Engineering/Analytics/ML. SynergisticIT since 2010 has helped candidates land full-time roles at major organizations (examples often listed include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Client, Client, Wayfair, and others), with offers in the $95k-$154k range depending on role and stack. Why laid-off candidates often struggle (even with experience) After a layoff, two things happen: Your skills may be solid, but your keywords and tools may be slightly behind the market. Your interview performance may drop because stress makes you second-guess. Also, employers increasingly expect hybrid capability: not just "I coded," but "I can build + deploy + collaborate + document + explain." That's especially true for Java full stack, DevOps, data engineering, and ML/AI. What roles are commonly in demand right now Laid-off candidates often do best targeting roles that map to consistent enterprise demand. The main lanes include: Entry-level to mid-level software engineering roles (especially backend/full stack) Java full stack roles (enterprise stability) Java/Python developer roles (flexibility across teams) DevOps/Cloud roles (automation, pipelines, reliability) Data roles (analytics engineering ML/AI) why placement support matters rebuild a job-ready portfolio fast adjust your resume and LinkedIn for ATS practice interviews under real conditions get scheduled interviews through structured outreach A layoff recovery plan that actually works A smart recovery plan is not "apply more." It's: Re-stack: align skills to today's demand (Java/full stack/devops or data/ML). Rebuild proof: projects that look like work, not homework. Rehearse interviews: DSA, system design, SQL, behavioral storytelling. Re-enter pipelines: structured outreach that leads to scheduled interviews. If you follow that with consistent coaching and iteration, your layoff becomes a pivot point-not a pause. If you're ready to stop refreshing job boards and start rebuilding momentum with support, begin here: If you want to here are the key links: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Explore JOPP: Reviews: Layoff reality: It can happen to anyone. Career recovery is a strategy problem, not a worth problem. In tech, it's not only what you know-it's how you position it and who guides you that determines how quickly you return stronger. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

LeetCode Strong but Still Unemployed? Build Real-World Project Proof Solving coding problems is important, but LeetCode alone does not always convince employers that you are job-ready. Hiring teams also want to see whether you can build applications, work with frameworks, connect databases, use Git, explain architecture, debug issues, and collaborate in realistic development workflows. SynergisticIT is looking for candidates interested in Java, Spring Boot, full-stack development, APIs, SQL, Git, DevOps basics, Python, data analytics, data science, and ML/AI tracks. This opportunity is ideal for candidates who have strong algorithm practice but need stronger project and interview positioning. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Explore JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? SynergisticIT JOPP is good for LeetCode-focused candidates because it helps convert coding ability into a more complete job-ready profile. Candidates can build practical applications, prepare for technical and behavioral interviews, improve resume storytelling, and align their skills with employer expectations beyond algorithms. Turn coding practice into career readiness-contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Career Gap to Tech Career - Rebuild Momentum With Java or Data Skills If you have been unemployed for several months, returning to the job market can feel frustrating. You may have talent, education, or past experience, but hiring teams often look for recent proof that your skills are current. A career gap does not define your ability, but it does mean you need a strategy to rebuild confidence and show employers that you are ready. SynergisticIT is considering candidates interested in Java development, Python development, full-stack engineering, data analytics, data science, data engineering, DevOps, and ML/AI programming. This opportunity is especially relevant for candidates with career gaps, layoffs, limited experience, or outdated technical stacks. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Explore JOPP: Reviews: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? SynergisticIT JOPP is good for candidates with gaps because it helps rebuild momentum through structured upskilling, practical project work, resume improvement, interview preparation, and job-search support. Instead of applying randomly, candidates can work toward a more current and employer-ready profile. Do not let a career gap stop your progress- Contact us and restart with a plan. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Entry-Level Data Scientist / Java Developer - Choose a Path With Support If you are applying everywhere but not getting responses, it may be time to stop guessing and start building a structured plan. Many candidates are interested in both software and data careers but do not know which path fits their strengths or how to present themselves to employers. SynergisticIT is considering candidates for entry-level Java developer, Python developer, software programmer, data analyst, data engineer, data scientist, and ML/AI programmer paths. This opportunity is ideal for candidates who want guidance, stronger skills, better projects, and a more focused job-search strategy. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Explore JOPP: Reviews: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? SynergisticIT JOPP is good because it helps candidates close the gap between coursework and hiring expectations. Whether your direction is Java, full stack, DevOps, analytics, data science, or AI, the program helps emphasize practical skills, project work, resume preparation, interview readiness, and job-market execution. Choose a career path with structure and support-contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Don't Let the Job Market Intimidate You ! Let's get You Interviews and Offers with a Process! The tech job market can feel overwhelming, especially with layoffs and increased competition. But you don't have to navigate it alone. SynergisticIT gives you the toolsand support needed to stand out. You'll work on real projects, master in demand technologies, and receive interview preparation that boosts your confidence. Also get your profile directly to Fortune 500 companies, ensuring your skills reach real hiring managers. Instead of feeling intimidated, you'll feel empowered. The job market isn't impossible - you just need the right strategy, and Synergisticit provides exactly that. A degree gives you a foundation, but employers want more - they want proof you can apply your knowledge in real world scenarios. Employers want candidates who demonstrate practical skills, confidence, and readiness. SynergisticIT gives you the tools to rise above the noise. Getting hired in tech isn't just about knowing how to code - it's about proving you can deliver value from day one. Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search. It's also one of the most fixable-because interview performance is rarely about intelligence. It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they don't learn how to present their skills under pressure. SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers-companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and many more-with offers often ranging from $95,000 to $154,000 depending on role and skill depth. The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear. Why do people fail interviews after doing CS or online courses? Typically it's one (or several) of these gaps: Weak fundamentals (you know syntax, but not the "why") Poor project explanation (you built something, but can't defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on-like a sport. You don't just watch videos; you practice real drills. We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI-because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes). Please read our blogs If you're already getting interviews, you're closer than you think. Now it's time to train like you mean it-and turn interviews into offers. If you want to , here are the key links: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Explore JOPP: Reviews: Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

AI Engineer - Generative AI, LLM & RAG Position Overview Build practical AI and Generative AI solutions that address real-world business problems, from prototype through production. This mid-level role focuses on developing scalable AI applications, integrating Large Language Models, building RAG-based solutions, and bringing AI capabilities into enterprise platforms. You'll work with senior engineers, architects, data scientists, and business teams while contributing to AI-powered chatbots, virtual assistants, document processing, knowledge-management solutions, and other AI applications. What You'll Do Develop and implement AI/ML solutions using Python and modern AI/ML frameworks. Build Generative AI applications using Large Language Models (LLMs). Develop RAG-based applications using document processing, embeddings, vector databases, and semantic search. Integrate LLMs such as Azure OpenAI, OpenAI, AWS Bedrock, Google Gemini, or equivalent platforms. Develop AI-powered chatbots, virtual assistants, document summarization, classification, extraction, and knowledge-management solutions. Implement prompt engineering techniques and evaluate LLM responses for accuracy, relevance, and reliability. Build and integrate REST APIs and microservices to expose AI capabilities to enterprise applications. Work with structured and unstructured data and develop data-preparation and processing pipelines. Implement AI solutions using cloud services on Azure, AWS, or Google Cloud. Collaborate with senior engineers and architects to develop scalable and production-ready solutions. Participate in proof-of-concepts and rapidly evaluate emerging AI technologies. Develop unit tests, integration tests, and automated validation for AI applications. Monitor AI applications and troubleshoot performance, accuracy, and production issues. Follow enterprise standards for security, data privacy, responsible AI, and application development. Contribute to technical documentation, solution design, and knowledge-sharing activities. Required Qualifications 3-6 years of experience in software engineering, AI/ML, data science, or a related technology field. Strong hands-on programming experience with Python. Experience with Machine Learning and/or Generative AI applications. Practical experience working with LLMs and prompt engineering. Experience building RAG applications using embeddings and vector search. Knowledge of ML/AI frameworks such as PyTorch, TensorFlow, or Scikit-learn. Experience working with REST APIs and microservices. Experience with SQL and relational or NoSQL databases. Experience with at least one cloud platform: Azure, AWS, or Google Cloud. Familiarity with Git and CI/CD practices. Good understanding of software development lifecycle and Agile methodologies. Strong problem-solving and communication skills. Preferred Qualifications Experience with Azure OpenAI or OpenAI APIs. Experience with LangChain, LangGraph, LlamaIndex, or Semantic Kernel. Experience with vector databases/search platforms such as Azure AI Search, Pinecone, FAISS, or similar technologies. Knowledge of AI agents and agentic workflows. Experience with Docker and Kubernetes. Familiarity with MLOps/LLMOps concepts. Experience with AI evaluation, guardrails, and responsible AI. Experience working with enterprise data or regulated industries such as banking, financial services, or insurance. Experience Level 3-6 years of total technology experience. 2+ years of hands-on experience with AI/ML or Generative AI is preferred. Role Expectations The Mid-Level AI Engineer should be able to independently develop well-defined AI features and applications, troubleshoot technical issues, and contribute to solution design. The engineer will work under the guidance of senior engineers/architects for complex architecture and enterprise-level decisions. Technology Environment Languages: Python, SQL AI/ML: Machine Learning, NLP, Generative AI, LLMs GenAI: RAG, Prompt Engineering, Embeddings, Vector Search, AI Agents Frameworks: PyTorch, TensorFlow, Scikit-learn, LangChain/LangGraph Cloud: Azure / AWS / Google Cloud LLM Platforms: Azure OpenAI, OpenAI, AWS Bedrock, Google Vertex AI Data: SQL, NoSQL, Vector Databases, Document Stores Engineering: REST APIs, Microservices, Git, Docker, CI/CD What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected. PAY TRANSPARENCY TAGLINE: For information on the compensation range and an overview of benefits offered by HTC Global Services, please email . Salary, other compensation, and benefits information shared by HTC are accurate as of the date provided. The disclosed range may vary based on factors such as geographic location, education, relevant experience, certifications, skills, role fit, organizational needs & other factors as applicable. HTC Global Services reserves the right to modify ranges in accordance with governmental, state, and local requirements.

Python Software Engineer Position has the ability to transition from contract to direct at the client and candiates request You may sit in Cambridge, MA, Arlington, VA, Seattle, WA These positions are onsite or hybrid requiring 3+ days/week in office You must be a US Citizen and be able to hold and Active Secret/Top Secret/ TS/SCI Our Client is a specially selected team of scientists, engineers, and software developers who use asymmetric and unconventional approaches to deploy practical solutions that solve difficult multi-disciplinary problems faced by the US National Security Ecosystem. Responsibilities: Design and develop scalable, efficient, and reliable software applications using Python Participate in design reviews, code reviews, and pair programming to ensure high-quality code and knowledge sharing Stay up-to-date with the latest software engineering trends, tools, and technologies Collaborate with cross-functional teams to deliver high-quality software products, ensuring seamless integration and deployment Contribute to the development of new codebases that emphasize object-orientation, modularity, and maintainability Requirements: US citizenship and the ability to obtain a U.S. security clearance (Secret, Top Secret, or TS/SCI) Expertise in Python Strong understanding of relational databases and version control systems (e.g., Git) Experience with Docker, Docker-compose, or Kubernetes Familiarity with Agile development methodologies (Scrum or Kanban) and microservice architecture Strong communication skills and self-motivation Bachelor's or Master's degree in Computer Science or a related field (or significant professional experience) 5+ years of software development experience Willingness to travel up to 25% Preferred Qualifications: Experience with cloud computing platforms (AWS, Azure, GCP) Knowledge of Spark or PySpark Background in mathematics or computer science Experience with DevOps tools and practices Familiarity with containerization technologies Experience or desire to lead technical teams

Allstate, a pioneer in the insurance industry since 1931, is seeking a Quantum Algorithm Developer Expert to join our innovative IT & Data Management team. This role is centered around leveraging quantum computing technologies to solve complex problems and optimize processes in the insurance sector. The successful candidate will be instrumental in developing algorithms that enhance data security, risk assessment models, and overall decision-making processes, setting new standards in insurance services and customer satisfaction. Responsibilities Develop and implement quantum algorithms tailored to the insurance industry's needs. Collaborate with IT specialists and data scientists to integrate quantum technologies into existing systems. Conduct research and simulations to test the efficacy of quantum-based solutions. Stay updated with the latest developments in quantum computing and apply this knowledge to ongoing projects. Prepare detailed reports and presentations for stakeholder review, illustrating the benefits and progress of quantum initiatives. Required Skills Proficient in quantum computing languages and frameworks such as Qiskit, Cirq, or Quantum Development Kit. Strong analytical and problem-solving skills. Experience in algorithm development and complexity analysis. Ability to work collaboratively in cross-functional teams. Excellent communication and presentation skills.

Allstate is seeking a Senior AI Engineer to join our Data Science & Artificial Intelligence (AI) team in the Insurance industry. You will design, build, and deploy scalable AI/ML solutions that improve underwriting, claims, fraud detection, and customer experiences. Responsibilities include developing production-grade models, collaborating with data scientists and engineers, integrating models into cloud-based systems, and ensuring reliability, fairness, and compliance. You will mentor junior teammates, drive MLOps best practices, and partner with business stakeholders to translate complex data into measurable business impact. Responsibilities Design, build, and deploy scalable AI/ML solutions for underwriting, claims, and fraud detection Collaborate with data scientists and engineers to productionize and optimize models Implement MLOps pipelines, CI/CD, monitoring, and model governance Integrate AI services and APIs into cloud-native applications and data platforms Ensure AI systems meet security, reliability, fairness, and regulatory requirements Work with stakeholders to translate business needs into technical AI solutions Optimize model performance, latency, and cost in cloud environments Mentor junior engineers and contribute to engineering best practices and standards Document architectures, models, and processes for maintainability and reuse Evaluate and introduce new AI tools, frameworks, and practices to drive innovation Required Skills Python Machine learning algorithms Deep learning frameworks (Tensor Flow/Py Torch) MLOps and ML pipelines (CI/CD) Cloud platforms (AWS/Azure/GCP) Data engineering (SQL, data pipelines) Model monitoring and observability API development and microservices Version control (Git) Software engineering best practices