Join Zensar's AI Platform Development team to design, build, and deploy custom AI platforms for internal use and clients, working both in-house and on client sites.
Responsibilities
Build AI platforms end-to-end, including services, APIs, web interfaces, data, and tests
Develop AI agents and associated controls such as prompts, tools, retrieval, evaluations, human approval, and audit trails
Propose new features and take them from idea to release
Write clear specifications and review outputs from AI coding assistants
Deploy platforms into client clouds or data centers and integrate with client systems and APIs
Requirements
BS or MS in Computer Science, Computer Engineering, or related field from a strong US university
Design and build custom AI platforms for internal use and clients, deploying them on major clouds or client environments. Engineers build features end-to-end, AI agents, and controls around them.
Locations (2)
San Jose, California, United States
Ann Arbor, Michigan, United States
Responsibilities
Build features end to end: services and APIs, web interfaces, data and tests.
Build AI agents and the controls around them: prompts, tools, retrieval, evaluations, human approval and audit trails.
Understand the roadmap, propose new features, and take them from idea to release.
Work with AI coding assistants every day: write clear specifications, review what they produce, own the result.
Deploy platforms into a client's cloud or data centre and integrate them with the client's systems and APIs.
Requirements
BS or MS in Computer Science, Computer Engineering or a related field from a strong US university
Desenvolver soluções baseadas em IA Generativa, LLMs, RAG, agentes inteligentes e hiperautomação, transformando necessidades do negócio em aplicações escaláveis e de alto impacto.
Responsibilities
Desenvolver soluções baseadas em IA Generativa, LLMs, RAG, agentes inteligentes e hiperautomação, transformando necessidades do negócio em aplicações escaláveis e de alto impacto
Criar agentes capazes de utilizar APIs, ferramentas, bases de dados e sistemas corporativos para executar tarefas, automatizar processos e apoiar a tomada de decisão
Projetar arquiteturas e workflows agênticos contemplando gerenciamento de contexto, memória, tool/function calling e mecanismos human-in-the-loop
Desenvolver componentes, frameworks e serviços reutilizáveis para acelerar a implementação de novos casos de uso de IA
Atuar na evolução da esteira corporativa de desenvolvimento e operação de agentes e soluções de Inteligência Artificial
Requirements
Formação superior completa em Ciência da Computação, Engenharia da Computação, Sistemas de Informação, Engenharia de Software, Ciência de Dados ou áreas correlatas
Ares Management is seeking a highly motivated Senior Associate, AI Engineer to help build and operate the firm's enterprise AI platform and production AI capabilities supporting use cases across investment and corporate functions.
Compensation
$150,000 - $170,000
Responsibilities
Design, develop, test, and operate production-grade AI services and applications.
Write clean, maintainable, well-tested production code using Python and modern software engineering practices.
Develop APIs, services, libraries, and reusable components that support AI applications across the firm.
Participate in technical design, code reviews, testing, troubleshooting, and production support.
Work with senior engineers to implement platform architecture, engineering standards, and reusable design patterns.
Design, develop, and deliver production-ready AI solutions for clients while maintaining hands‑on engineering involvement.
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $102,400.00 - $204,100.00 per year.
Responsibilities
Architect end‑to‑end AI solutions including generative AI, agentic systems, and RAG
Lead solution architecture for AI build and proof‑of‑concept engagements
Remain hands‑on across solution development, coding, data integration, and debugging
Design and implement cloud‑native AI solutions on Azure, AWS, and GCP
Define architecture and integration patterns for LLMs, vector databases, APIs, microservices
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
Nice to have: Master's degree in a technical field
Nice to have: cloud or architecture certifications
Nice to have: experience with OpenAI, Anthropic, Google LLMs
Nice to have: experience designing evaluation frameworks for LLMs
Design and deliver secure, scalable AI solutions across the firm, owning solution design and implementation for assigned initiatives.
Responsibilities
Partner with the Lead AI Engineer to develop and apply reference Engineerures, engineering patterns, and standards for generative AI, machine learning, retrieval, and agentic workflows.
Own technical design and implementation for assigned AI products, including model selection, orchestration, context management, retrieval, tools, memory, APIs, and integrations.
Build and apply evaluation frameworks for quality, groundedness, safety, latency, reliability, and cost, including regression testing and production release checks.
Implement security and governance controls for identity, access, data handling, privacy, secrets, logging, auditability, human oversight, and safe failure in partnership with Cybersecurity and the Lead AI Engineer.
Partner with Data and Platform Engineering to build reusable services and support deployment, CI/CD, MLOps or LLMOps, observability, scaling, and production operations.
Requirements
Bachelor's or advanced degree in Computer Science, Engineering, Machine Learning, or a related field, or equivalent experience.
Nice to have: Snowflake
Nice to have: Azure
Nice to have: AWS
Nice to have: modern data stacks
Skills
Director, Data and AI
St. Jude Children's Research Hospital · Posted Nov 11, 2026
Lead the enterprise Databricks platform on Azure, drive adoption across research, administration, operations, and clinical integration, and build AI-ready data products.
Locations (2)
Memphis, Tennessee, United States
Tennessee, United States
Compensation
A reasonable estimate of the current salary range is $138,320 - $262,080 per year for the role of Director, Data and AI.
Responsibilities
Guide the next phase of the enterprise Databricks platform on Azure
Drive adoption across research, administration, operations, and clinical integration
Lead a team of data engineers, AI engineers, product leads, platform architects, and solutions engineers
Translate platform capability into measurable mission impact
Build and deploy production solutions on Databricks
Requirements
Bachelor's degree in business administration, computer science, data science, information science or related field
Ares Management is seeking a highly motivated Senior Associate, AI Engineer to help build and operate the firm's enterprise AI platform and production AI capabilities supporting use cases across investment and corporate functions.
Compensation
$150,000 - $170,000
Responsibilities
Design, develop, test, and operate production-grade AI services and applications.
Write clean, maintainable, well-tested production code using Python and modern software engineering practices.
Develop APIs, services, libraries, and reusable components that support AI applications across the firm.
Participate in technical design, code reviews, testing, troubleshooting, and production support.
Work with senior engineers to implement platform architecture, engineering standards, and reusable design patterns.
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related technical discipline
Senior Associate, AI Engineer to build and operate the firm's enterprise AI platform and production AI capabilities supporting use cases across investment and corporate functions.
Compensation
$150,000 - $175,000
Responsibilities
Design, develop, test, and operate production-grade AI services and applications.
Write clean, maintainable, well-tested production code using Python and modern software engineering practices.
Develop APIs, services, libraries, and reusable components that support AI applications across the firm.
Participate in technical design, code reviews, testing, troubleshooting, and production support.
Work with senior engineers to implement platform architecture, engineering standards, and reusable design patterns.
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related technical discipline.
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