phData - Director - Artificial Intelligence/Machine Learning

Job Description :

About the Role :

We are building our India Agentic Delivery Center from scratch and are hiring a hands-on Director to lead it. You'll own Zero To one delivery of GenAI/agentic solutions for global enterprises, build and scale a high performing applied AI team, and work directly with US based leadership and C level clients.

What You'll Do :

- Own end-to-end design & delivery of production grade agentic AI/ML solutions & platforms (multiagent systems, RAG, closed loop workflows).

- Translate business problems into prescriptive architectures using LLMs, agent frameworks (LangChain/LangGraph/LlamaIndex, etc.) and cloud AI platforms (AWS, Azure, GCP, Databricks,

Snowflake).

- Lead Zero To one engagements : discovery PoC pilot production, under fixed price / outcome based models.

- Act as primary escalation point for India delivery; ensure ontime, highquality outcomes and clear business value/ROI.

- Build the India Agentic Delivery Center : hiring, coaching, setting standards, and integrating with global consulting.

- Drive creation of reusable accelerators, modular agentic codebases, and solution templates across clients and industries.

- Lead/participate in workshops, presales, architecture reviews, and represent phData with senior stakeholders.

What Were Looking For :

14 - 18 years in IT (preferably IT services/consulting) with :

- 8+ years as a hands on AI/ML architect building production platforms/solutions.

- 5+ years building & scaling teams in ZerotoOne environments.

- 3+ years of consulting leadership : leading projects, client relationships, and aligning tech to business value.

- Proven track record delivering complex solutions under fixedprice / outcomebased commercials.

Must Have Skills :

- Deep knowledge of LLMs, GenAI, agentic architectures & RAG; experience building reusable accelerators across clients.

Handson with LLM orchestration frameworks :

- LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI (or similar).

Strong experience with cloud AI/ML platforms :

- AWS SageMaker/Bedrock, Azure ML/AI Studio/OpenAI, GCP Vertex AI, Databricks, Snowflake Cortex/ML.

Proven MLOps/LLMOps skills :

- Scalable deployment, monitoring, observability, lifecycle management.

- Experience using agentic AI / assisted dev tools (coding agents, AI pair programming) to speed delivery while keeping quality.

- End to end SDLC ownership for AI/ML : design, dev, testing, CI/CD, observability, incident response.

- Strong communication : Able to explain value, ROI, and risk to both engineers and executives/Csuite.

Ideal Profile :

- Player coach : comfortable reviewing and writing code when needed, while leading a senior team.

- Consultant mindset : thinks in terms of outcomes, accelerators, and ROI, not just hours or tickets.

- Zero to One builder : enjoys ambiguity, sets the bar, and takes extreme ownership of results.

Thrives in a global, distributed setup and loves collaborating across time zones.