DHI Solutions - Head of the Generative AI

Role Summary :

As the Head of the Generative AI CoE, you will drive the research, development, and enterprise adoption of Generative AI technologies across the organization. You will lead a multidisciplinary team of AI engineers, researchers, and data scientists to shape cutting-edge solutions using LLMs, RAG, prompt engineering, and multi-modal models. This is a senior leadership role that combines thought leadership, delivery oversight, and technical strategy.

Key Responsibilities :

Strategic Leadership & CoE Build-Out :

- Define and execute the vision and roadmap for the Generative AI CoE.

- Establish best practices, frameworks, and reusable components for GenAI solutions across domains.

- Lead strategic planning, capability development, and enterprise-wide evangelism of GenAI.

AI & Engineering Excellence :

- Architect and oversee development of GenAI-powered applications including LLM fine-tuning, RAG pipelines, and prompt engineering.

- Drive experimentation and innovation in areas such as multi-modal AI, agent-based frameworks, and contextual learning.

- Ensure integration of GenAI with scalable cloud architectures (Azure, AWS, GCP).

Governance, Ethics & Compliance :

- Establish standards for model interpretability, bias mitigation, data privacy, and compliance with regulatory requirements.

- Build frameworks for responsible AI usage, including usage policies for public LLMs (OpenAI, Anthropic, Mistral, etc.)

Talent Development & Thought Leadership :

- Hire, mentor, and upskill a high-performing team of AI engineers and researchers.

- Represent the company in external forums, conferences, and consortiums as a thought leader.

Cross-Functional Collaboration :

- Partner with engineering, product, business, and client teams to align AI solutions with business goals.

- Collaborate with client stakeholders on GenAI solutioning, architecture, and delivery for POCs, pilots, and production rollouts.

Required Qualifications :

Education :

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related disciplines. PhD preferred but not mandatory.

Experience :

- 13 - 15+ years of experience in Data Science, Machine Learning, and AI systems.

- Minimum 5 years in building and scaling GenAI/LLM-based solutions.

- Proven experience in leading cross-functional AI teams in fast-paced environments.

Technical Skills :

- Expertise in LLMs (OpenAI, Gemini, Claude, Falcon, Mistral, etc.).

- Strong knowledge of RAG pipelines, LangChain, Vector DBs (FAISS, Pinecone, Chroma).

- Familiarity with fine-tuning techniques: LoRA, QLoRA, PEFT, Adapter methods.

- Proficient in Python, PyTorch, TensorFlow, FastAPI, HuggingFace, scikit-learn.

- Experience deploying AI models on Azure, AWS, or GCP.

- Exposure to MLOps, model versioning, CI/CD, and containerized deployment (Docker,

Kubernetes).

Desirable Skills :

- Knowledge of knowledge graphs, multi-agent orchestration, and multi-modal AI systems.

- Experience with compliance frameworks (GDPR, HIPAA, AI Act) and responsible AI.

- Published papers, patents, or open-source contributions in AI/ML/LLMs.

Soft Skills :

- Strong leadership, mentoring, and team-building abilities.

- Excellent communication and storytelling skills for both technical and business audiences.

- Strategic mindset with hands-on delivery orientation.

- Curious, adaptable, and driven by innovation and excellence.

Why Join Us?

- Lead a company-wide AI transformation from the front.

- Work on high-impact, frontier AI challenges across industries.

- Collaborate with top talent and contribute to an innovation-first culture.

- Competitive compensation, growth opportunities, and a flexible work environment.