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Job Closed

Forward Deployed AI Engineer

  • Source: Naukri
  • Cerebra
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

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 environment, 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

Skills

  • Salesforce
  • sap
  • palantir
  • serverless
  • claude-by-anthropic
  • vertex
  • Terraform
  • helm
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