Agentic Capability AI and Data Science Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+2 more
Job description
Experteer Overview Join Deloitte’s AI & Engineering team to design, build, and scale agentic infrastructure for AI-driven delivery. You will shape agent systems, prompt patterns, and MCP servers to empower cross-functional delivery teams and client impact. This role blends platform engineering with AI workloads, offering opportunities to improve reliability and drive innovation at scale. You’ll work with security-minded DevSecOps practices and guide peers to maximize platform utility for complex missions. Compensation / Benefits * Design and implement agent system architecture and DevSecOps practices for AI workflows * Build and maintain AI agents, agent systems, and reusable skills/workflows for delivery teams * Develop and govern prompt and context engineering patterns for consistent outputs * Stand up MCP servers, CLI tools, and agent testing frameworks * Deliver platform configuration and integrations (CI/CD, repositories, environments, guardrails) * Standardize orchestration components for enterprise reuse * Improve reliability, performance, and maintainability of agent delivery capabilities * Provide technical guidance to ADEs and AEMs on agentic infrastructure usage Tasks * Bachelor’s degree in Computer Science, Data Science or Engineering * 7+ years of software engineering experience with platform or infrastructure impact * 5+ years building/deploying/integrating AI/ML systems in production * 5+ years of cloud platforms and infrastructure automation (Terraform, Kubernetes) experience * 2+ years of prompt engineering and context optimization * 2+ years designing reusable tools or developer productivity infrastructure * Ability to travel 50% * Authorized to work in the United States without sponsorship * ability to obtain required clearance for this role Key requirements * discretionary annual incentive program * broad range of benefits * inclusive culture * professional development opportunities * accommodations for people with disabilities * commitment to diversity and inclusion
Requirements
utility for enterprise reuse * Improve reliability, performance, and maintainability of agent delivery capabilities * Provide technical guidance to ADEs and AEMs on agentic infrastructure usage Tasks * Bachelor’s degree in Computer Science, Data Science or Engineering * 7+ years of software engineering experience with platform or infrastructure impact * 5+ years building/deploying/integrating AI/ML systems in production * 5+ years of cloud platforms and infrastructure automation (Terraform, Kubernetes) experience * 2+ years of prompt engineering and context optimization * 2+ years designing reusable tools or developer productivity infrastructure * Ability to travel 50% * Authorized to work in the United States without sponsorship * ability to obtain required clearance for this role Key requirements * discretionary annual incentive program * broad range of benefits * inclusive culture * professional development opportunities * accommodations for people with disabilities * commitment to diversity and inclusion
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on us.experteer.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Navigating the AI Shift
Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!
How to Become an AI Engineer
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production