Key Responsibilities

- Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — inside enterprise environments
- Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability, with business metrics attached — not just delivery milestones
- Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-ready
- Design and govern AI architectures across the full enterprise stack: identity, data, security, governance, platform layer, and workflow integration
- Translate technical architecture into business impact for client CTO, CFO, and CISO; shape use case roadmaps, ROI backlogs, and AI adoption strategy
- Build reusable patterns, playbooks, and accelerators that the client owns after you leave — enabling the client team to run it without you
- Lead design workshops, proofs of concept, architecture walkthroughs, and code-with sessions with client engineering and leadership teams
- Codify patterns and delivery learnings that scale across engagements and contribute to the growth of the FDE practice

Basic Qualifications





- 3-5 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
- Minimum of 1 years of deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
- Minimum of 3 years of experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
- Minimum of 3 years of experience deploying to production , CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
- Demonstrated end-to-end delivery ownership in a client-embedded setting, internal projects, vendor labs, or team-only deployments do not qualify
- Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on
- Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level
- Non-linear profiles are expected and welcomed, assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching

📌 Forward Deployed AI Engineer (Hyderabad)
🏢 Cerebra
📍 Hyderabad