Forward Deployed AI Engineers

LTIMindtree is a global technology consulting and digital solutions company that helps enterprises transform their operations. They are seeking a Forward Deployed Engineer (FDE) to engage with clients, build rapid proofs of value, and design scalable AI solutions within their BlueVerse business unit.

Responsibilities:

• Partner with Sales, Client Partners, and BlueVerse leaders to run CXO-level working sessions that translate business pain into an Outcome Thesis (KPI tree, baseline, uplift hypothesis, operating constraints)
• Identify the right "thin-slice" wedge for a rapid Proof of Value (PoV): high signal, measurable, low dependency, enterprise-relevant
• Communicate trade-offs clearly: what to automate vs assist, where human-in-the-loop is required, and what "safe scale" entails
• Build a rapid PoV that demonstrates business impact + technical feasibility trustworthiness
• Implement agent workflows with tool use, integration to enterprise systems, and lightweight UI/experience for stakeholder clarity
• Create initial evaluation harness (task success, accuracy, policy compliance, tool-call success, latency/cost) and capture baseline vs PoV lift
• Produce a scalable Agentic Blueprint: agent roles, orchestration patterns, tools/APIs, data/knowledge strategy, guardrails, observability, and HIL escalation
• Define MVP backlog and architecture decisions: identity/access, audit, logging, fallback design, policy boundaries, and deployment model
• Hand off cleanly to delivery teams (MVP squads / pods) with a production-ready plan
• Design solutions using BlueVerse constructs or hyper scaler Agentic AI foundations (Foundry, knowledge fabric/RAG patterns, agent orchestration, governance, observability/AgentOps
• Deploy across hyperscalers (AWS/Azure/GCP) and/or client environments; integrate with enterprise apps (e.g., ServiceNow, Salesforce, SAP, Microsoft stack)
• Ensure alignment with enterprise security, privacy, and compliance requirements
• Serve as a technical "closer" in competitive pursuits: demos, workshops, architecture deep dives, and technical validation
• Create reusable accelerators: prompt packs, workflow templates, connectors, eval suites, reference architectures—so future PoVs become faster and repeatable
• Contribute to BlueVerse thought leadership and field playbooks (industry use cases, POV patterns, autonomy ladder constructs, commercial hooks)

Requirements:

• 8+ years of experience in full-stack engineering / solution architecture / technical consulting, with significant client-facing delivery
• Demonstrated ability to build quickly under ambiguity and still maintain sound architecture instincts
• Strong experience with modern AI stacks, including: LLMs / agent patterns: orchestration, tool-calling, planning/execution loops, memory patterns
• RAG & knowledge: embedding strategies, chunking, vector databases, retrieval evaluation
• Evaluation: offline + online evals, regression suites, safety tests/red-teaming basics
• Strong software engineering fundamentals: APIs, data pipelines, integration, distributed systems basics
• Proficiency in Python + one of (TypeScript/Java/Go); comfortable across frontend + backend as needed
• Cloud-native experience (AWS/Azure/GCP), containers, CI/CD, and observability fundamentals
• Exceptional communication: can translate technical complexity into business impact for senior stakeholders
• Proven delivery of GenAI/agentic solutions in production (not only prototypes)
• Experience integrating with enterprise platforms: ServiceNow, Salesforce, SAP, Microsoft (Graph/O365), Databricks/Snowflake, etc
• Experience with security & governance for GenAI: data boundaries, access control, auditability, model risk, compliance evidence
• Familiarity with LLMOps/AgentOps concepts: versioning, telemetry, drift monitoring, cost governance (FinOps)
• Domain depth in one or more LTM focus verticals (Travel/Transportation/Hospitality, Retail/CPG, BFSI, Manufacturing, Media)
• Relevant certifications (cloud, security, data) are a plus