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    Job · 19225067

    HYDERABAD · FULLTIME

    Forward-Deployed AI Engineer

    Turing logo

    Turing

    Hyderabad · onsite · Posted 26d ago

    Sourced fromNaukri
    Undisclosed8–13 yrsfulltimeHyderabad

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    Section · 01

    About this role

    Job Summary

    Role: Forward-Deployed AI Engineer - Enterprise AI

    Location: Hyderabad

    Experience Level: 8+ years

    Work Model: Hybrid, 3 days per week in office

    Employment Type: Full Time

    Role Overview

    Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you ll define the frontier by building beyond it.

    You ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world s leading enterprises. As a Forward-Deployed AI Engineer, you ll own outcomes end to end-from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders.

    You ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won t be for everyone, but it may be exactly the challenge you re looking for.

    As a Forward-Deployed Engineer, You Will Find the Problem Worth Solving

    Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive.

    Build Beyond the Frontier

    Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale.

    Own the Outcome

    You won t simply be given a list of responsibilities-you ll have the authority to own the outcome for your client and make a real-world impact through your work. You ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost.

    The Anti-Sell

    High ownership and intensity: This role requires exceptional ownership and accountability. You ll work with clients who have uncompromising expectations for quality, making this a demanding environment-and an ideal proving ground for people who seek difficult, high-impact challenges.

    Client-first and hybrid: This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available.

    You ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you ll be expected to apply your expertise, judgment, and technical depth to create one.

    Our Forward-Deployed Engineers Typically Have

    • Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
    • Hands-on agentic AI experience: Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows.
    • Strong retrieval depth: Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality.
    • End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
    • Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives.
    • Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure.

    Values

    • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
    • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
    • We are AI forward: We help our clients build the future of AI and implement it in our own roles and workflow to amplify productivity.

    Advantages of joining Turing

    • Work at the frontier of AI, helping the world s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
    • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
    • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
    • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
    • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Section · 02

    Skills

    AgileDistributed SystemsapisAutomotiveGdprai engineerintegrationsAi ResearchEmbeddingsCloud InfrastructuredeploymentFrontierHealthcarecloudArchitectureFinancial ServicesGenerative AiData PipelineLife SciencesArtificial Intelligence

    Section · Company

    About Turing

    Turing logo

    Turing

    Analytics & KPO

    501

    employees

    2018

    8 years old

    Palo Alto,California

    United States

    About

    Turing specializes in AI-driven global talent sourcing for tech services, enhancing efficiency in engineering and project execution for businesses.

    Industries

    Analytics & KPOEmerging Technologies

    Employee ratings

    300 reviews

    3.0/ 5

    Culture

    3.1

    Career growth

    2.5

    Work-life

    3.6

    Employees rate it well for

    Work Life Balance49Salary37Senior Management21Work Culture20Working Hours/shift16

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