1 day ago
Remote, IndiaStaff+
Responsibilities
- Own delivery health across multiple active engagements, including status, burn, margin, staffing, technical risks, and client commitments.
- Review architecture and production readiness for retrieval, orchestration, evaluation, guardrails, observability, scalability, and security.
- Create staffing plans, allocate engineers across priorities, reduce bench time through redeployment, and hire and calibrate engineering talent.
- Partner with pre-sales and engagement leaders on scope, estimation, delivery plans, technical SOW review, change control, and commercial commitments.
- Lead distributed forward-deployed teams across the United States, India, and Latin America.
- Intervene in troubled engagements, establish recovery plans, and maintain accountability for delivery outcomes.
- Work with architecture and platform leaders to identify reusable components, shared standards, and delivery accelerators.
Requirements
- 12+ years of experience in software engineering or technical consulting, including 5+ years leading enterprise data or AI delivery.
- Track record of owning delivery outcomes and commercial performance across a portfolio of client accounts.
- Direct responsibility for shipping GenAI or machine-learning systems to production within the last two years.
- Strong working knowledge of LLM and agentic architectures, including retrieval, orchestration, evaluation, guardrails, observability, and production operations.
- Experience with estimation, technical SOW review, staffing plans, change control, delivery recovery, and P&L management.
- Ability to align engagement managers, pre-sales, architects, and distributed engineering teams while maintaining technical delivery accountability.
- Preferred experience leading forward-deployed or client-embedded engineering teams in an AI, data, or technology-services organization.
- Preferred experience in consumer goods, supply chain, real estate, manufacturing, media, or other complex enterprise environments.
- Preferred record of turning client-specific delivery work into reusable platform components, delivery accelerators, or technical standards.
Benefits
- Full-time, India-based role working with distributed teams across the United States, India, and Latin America.
- Opportunity to work at the frontier of AI with leading AI labs and enterprise clients.
- Opportunity to contribute to AI research and showcase work at conferences such as ICLR, ICML, and NeurIPS.
- Collaboration with colleagues with experience at Google, Meta, Amazon, and other leading technology companies.
- Startup-paced environment with substantial ownership and impact.
Categories
Forward Deployed
About Turing
Turing builds AI data pipelines and systems for enterprises and AI labs. It creates large-scale datasets and reinforcement-learning environments to train and evaluate models, and deploys agentic AI applications in domains like software engineering and enterprise workflows. The company also operates an AI-powered talent cloud to match and manage developers and AI trainers. Founded in 2018 and headquartered in San Francisco, it is privately held and serves Fortune 500 customers.