Lead AI Engineer

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

We are looking for a Head of Engineering to lead ourAI capability, spanningAI platforms, machine learning systems, and emerging agentic AI architectures. This role is responsible for drivingend-to-end solutioning—from client discussions and problem framing to execution strategy and production delivery.

You will operate at the intersection ofclient advisory, technical architecture, and execution leadership, building scalable foundations that power advanced AI and autonomous systems.

1. Client Advisory & Problem Framing

• Lead senior-level client conversations to identify opportunities acrossdata, AI, and agentic workflows

  
  

• Translate ambiguous business problems into structuredAI/data solution blueprints

  
  

• Act as a trusted advisor onAI transformation roadmaps, including platform and operating model design

  
  

• Present architectures, trade-offs, and execution strategies to technical and non-technical stakeholders

  
  

2. Data & AI Foundations

• Define and drive architecture formodern data platforms (data lakes, lakehouses, real-time pipelines)

  
  

• Build scalableML and AI foundations including feature stores, training pipelines, and inference systems

  
  

• Establish reusable frameworks, accelerators, and reference architectures

  
  

• Ensure strong governance acrossdata quality, lineage, security, and compliance

  
  

3. Agentic AI Systems

• Lead design and implementation ofagentic AI systems (LLM-based agents, RAG pipelines, multi-agent orchestration)

  
  

• Define patterns fortool use, memory, reasoning workflows, and human-in-the-loop systems

  
  

• Evaluate and integrate emerging GenAI technologies into production-grade solutions

  
  

• Drive experimentation → industrialization of agentic use cases

  
  

4. Execution Strategy & Delivery Leadership

• Own end-to-end delivery:discovery → PoC → MVP → scaled production

  
  

• Build and lead cross-functional teams acrossdata engineering, ML engineering, and AI engineering

  
  

• Define delivery plans, milestones, and measurable outcomes

  
  

• Manage risks, dependencies, and client expectations in complex engagements

  
  

5. Engineering Excellence & MLOps

• Establish best practices acrossCI/CD, MLOps, LLMOps, and observability

  
  

• Ensure robustness inmodel performance, monitoring, retraining, and lifecycle management

  
  

• Drive standards forreproducibility, evaluation, and system reliability

  
  

6. Capability Building & Influence

• Build internal capability acrossAI foundations and agentic systems

  
  

• Mentor engineering leaders and shape technical culture

  
  

• Contribute tothought leadership, GTM assets, and reusable IP

  
  

• Influence senior stakeholders across client and internal ecosystems

  
  

• 15 to 20 years in engineering acrossdata, platforms, and AI/ML systems

  
  

• 5+ years in leadership roles managing large, distributed engineering teams

  
  

• Strong experience indata platforms (batch + streaming), cloud ecosystems (AWS/Azure/GCP)

  
  

• Deep expertise inML systems, MLOps, and production AI architectures

  
  

• Hands-on experience withGenerative AI and LLM-based systems (RAG, agents, orchestration frameworks)

  
  

• Proven ability to leadclient-facing engagements and drive delivery from concept to production

  
  

• Excellent communication and executive stakeholder management skills

  
  

• Experience in consulting / AI services organizations

  
  

• Exposure to buildingagentic workflows in enterprise settings

  
  

• Familiarity with tools like LangChain, LlamaIndex, vector databases, orchestration frameworks

  
  

• Experience across multiple industries and large-scale transformations

  
  

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

India: HiringsupportIndia@fractal.ai

Outside India: HiringsupportROW@fractal.ai

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