GenAI Architect

Job Summary:

We are seeking a visionary AI Architect to lead the design, development, and evangelism of cutting-edge AI solutions. This role blends technical depth with client-facing leadership, driving AI strategy, pre-sales efforts, PoCs, and AI innovation initiatives. The ideal candidate is a seasoned AI professional who combines architectural expertise, thought leadership, and the ability to translate complex AI capabilities into real- world business impact for clients.

Key Responsibilities:

AI Strategy & Thought Leadership

• Act as a thought leader in AI/ML representing the organization at industry forums, client workshops, and strategic events.
• Collaborate with leadership to shape the AI vision and roadmap aligned to business and market needs.
• Stay ahead of emerging AI trends (GenAI, LLMs, Computer Vision, NLP, MLOps) and bring innovative ideas to the table.

Client Engagement & Advisory

• Serve as a trusted advisor to C-level clients, understanding their business challenges and recommending AI-powered solutions.
• Lead client workshops, discovery sessions, and strategy engagements to articulate AI value propositions.
• Build strategic relationships with key enterprise clients and influence AI adoption across business lines.

AI Solution Architecture

• Architect scalable and production-grade AI solutions across supervised/unsupervised learning, NLP, CV, and Generative AI.
• Design end-to-end AI solution architectures – data ingestion, model development, MLOps, deployment, and monitoring.
• Define solution blueprints, technology stack, and reference architectures tailored to client needs.

Pre-Sales & Solutioning

• Partner with sales and delivery teams to craft compelling AI proposals and presentations.
• Lead technical solutioning, estimation, and responses for RFPs/RFIs and client bids.
• Translate business problems into technical solutions, articulating ROI and competitive differentiation.

PoC Development & Innovation

• Drive rapid development of AI Proof-of-Concepts and pilot solutions to demonstrate feasibility and business impact.
• Lead agile cross-functional teams (data scientists, engineers, SMEs) to deliver high-quality prototypes.
• Enable reuse of AI components and accelerators across engagements.

Mentorship & Collaboration

• Mentor internal teams (data scientists, engineers) on AI best practices and career growth.
• Collaborate with product, engineering, and domain teams to scale AI across platforms and services.

Required Skills & Experience:

Technical Expertise

• Strong foundation in AI/ML algorithms, deep learning, NLP, computer vision, and LLMs (e.g., GPT, BERT, T5).
• Experience in deploying models using cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Proficiency in Python, TensorFlow/PyTorch, Scikit-learn, LangChain, Hugging Face, or equivalent frameworks.
• Understanding of MLOps, CI/CD for ML, model monitoring, and governance.

Strategic & Client-Facing Skills

• Proven experience in client consulting, pre-sales, or solutioning roles in AI services or platforms.
• Excellent communication and storytelling skills with the ability to influence stakeholders at various levels.
• Experience working across verticals such as Healthcare, BFSI, Retail, Manufacturing, or Life Sciences is a plus.