Forward-Deployed AI Engineer
Turing · Bengaluru · onsite · Posted 23d ago
Undisclosed8–13 yrsfulltimeSourced from
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About this role
Job Summary
Responsibilities
Requirements
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.
Role: Forward-Deployed AI Engineer - Enterprise AI
Location: Bengaluru
Experience Level: 8+ years
Work Model: Hybrid, 3 days per week in office
As a Forward-Deployed Engineer, 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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
Requirements
- 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.
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
Skills
AgileTechnical LeadershipAutomotiveSANworkflowPythonHealthcareFinancial ServicesSystem DesignDistribution System
About Turing
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
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300 reviews
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Culture
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Career growth
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