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    Job · 19512364

    Vrish Consulting logo

    FDE AI Consultant

    Vrish Consulting · Hyderabad · onsite · Posted 24d ago

    ₹8.0L - ₹12.0L PA2–3 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Purpose

    The Forward Deployment Engineer bridges production AI systems and complex enterprise operations across heavy-asset industries. Working side-by-side with executive leadership (Directors of Projects/Operations, COOs, Heads of Commercials & Engineering), you will design, prototype, and operationalize high-reliability AI-native workflows that accelerate multi-stage project bidding, contract risk analysis, technical document extraction, supply chain tracking, and capital project execution.

    This high-visibility, technical-consulting role demands strategic business fluency and hands-on technical execution: turning unstructured operational bottlenecks across capital-intensive sectors into deterministic software systems and automated agent loops that deliver measurable margin and cycle-time improvements.


    Key Responsibilities

    Executive Engagement & Problem Discovery

    • Partner directly with enterprise CXOs and project leaders across heavy-asset sectors to identify operational bottlenecks and map high-ROI AI deployment roadmaps.
    • Translate complex field operations, commercial tenders, compliance mandates, and cross-functional reviews into clear technical specs and functional system architectures.

    Rapid Solution Architecture & Deployment

    • Build, configure, and ship production-ready agentic workflows, deterministic data pipelines, and structured extraction systems for complex enterprise assets (e.g., technical specifications, RFPs, commercial contracts, regulatory filings, vendor variations).
    • Integrate deployed tools cleanly into enterprise backbones, including legacy ERPs (SAP/Oracle), project portfolio tools (e.g., Primavera P6), asset management systems, and internal data lakes.

    Adoption, Change Enablement & Scaling

    • Own the complete deployment lifecycle from 4-week pilot delivery to multi-site or company-wide operational rollout.
    • Run hands-on user enablement, conduct workflow audits, eliminate adoption friction across operational teams, and instrument telemetry to verify time, cost, and risk reductions.

    Governance, Reliability & Auditability

    • Implement strict human-in-the-loop (HITL) checkpoints and rigorous evaluation benchmarks to eliminate hallucinations, ensuring compliance with mission-critical industrial, safety, and commercial standards.

    Measures of Success

    • Speed to Value: Functional, production-grade pilot deployed within 46 weeks of discovery.
    • Adoption Depth: High weekly active engagement and sustained replacement of legacy manual engineering, reporting, or review workflows.
    • Quantifiable ROI: Measurable cycle-time reduction in bid responses, change-order tracking, technical audits, or material reconciliations.
    • Client Trust: Strong executive endorsement leading to portfolio-wide expansion across client business units.

    Qualifications & Experience

    • Experience: 23 years in business analysis, technical product management, solution architecture, or software engineering with strong product thinking and business acumen.
    • AI-Native Systems & Architecture:

    i. Hands-on experience building stateful, graph-based agent workflows and deterministic control loops (e.g., state machines, LangGraph, modern agent SDKs) over brittle prompt chains.

    ii. Practical implementation of protocol-driven tool integration (MCP / Model Context Protocol), strict structured outputs (JSON schema/Pydantic), and sandboxed agent execution.

    iii. Strong foundation in eval-driven engineering (synthetic benchmarks, trajectory tracing, regression testing) and robust human-in-the-loop (HITL) guardrails for zero-tolerance enterprise data.

    • Technical Breadth: Strong proficiency in Python, SQL, REST/JSON-RPC protocols, and event-driven data architectures.
    • Executive Presence: Exceptional communication skills with the ability to lead executive workshops, challenge assumptions tactfully, and distill complex technical trade-offs for non-technical leadership.
    • Industry Familiarity (Recommended, Not Required): Prior exposure to EPC lifecycle stages, energy/utilities operations, manufacturing, project controls, or heavy-industrial contracting is an advantage; intellectual curiosity and rapid domain absorption are paramount.


    Sourced from naukri

    Skills

    SAPAutomationRest Api DevelopmentPrompt EngineeringAgentic WorkflowLarge Language Models (LLMs)JSONPythonSQLDatabaseAi SolutionsData PipelineArtificial Intelligencestructured output

    FDE AI Consultant · waiting for your command