Job Description

About Workmates

Workmates is accelerating enterprise AI transformation across industries through cloud-first, AI-native solutions built on AWS. We partner with global enterprises to design, build, and operationalize intelligent systems that drive measurable business impact — from Generative AI and advanced ML to intelligent automation and data-driven decision platforms.

Role Overview

We are seeking a Head — AI/ML Delivery (AWS) to serve as the senior-most AI/ML delivery leader, owning the end-to-end execution of enterprise AI programs. This is a strategic, high-impact leadership role that combines deep technical mastery in AI/ML with executive-level client engagement, delivery governance, and practice-building responsibilities.

You will be the principal technical authority on AI delivery, responsible for translating AI strategy into scalable, production-grade solutions for enterprise customers. You will lead solution architecture, technical decision-making across multiple AI initiatives, team leadership, and client success — ensuring measurable business outcomes powered by AWS-native AI services and custom ML frameworks.

This role blends deep hands-on AI/ML expertise with strategic thinking, innovation leadership, and the ability to shape the technical direction of the entire AI delivery practice.

Location

Kolkata

Requirements

Key Responsibilities

• Client Delivery & Program Leadership
• Lead end-to-end delivery of AI/ML and Generative AI programs across enterprise clients, ensuring scalability, maintainability, and tangible business value
• Own solution architecture, delivery governance, timelines, risk management, and quality assurance for all AI engagements
• Act as the executive escalation point and principal technical advisor to senior client leadership on AI capabilities, limitations, and strategic opportunities
• Drive measurable business outcomes aligned with client KPIs and articulate ROI of AI investments
• Build long-term client relationships and position Workmates as the trusted AI transformation partner
• Manage multi-million-dollar delivery portfolios with P&L accountability
• AI/ML Architecture & Technical Excellence (AWS Focused)
• Architect scalable, production-grade AI solutions using AWS services including SageMaker, Bedrock,Strands,Kiro, Lambda, EC2, S3, Redshift, Step Functions, and the broader AWS AI/ML stack
• Design and implement Generative AI solutions using LLMs, RAG pipelines, embeddings, vector databases, and agentic AI frameworks within the AWS ecosystem
• Oversee the full ML lifecycle: data engineering, feature engineering, model training, fine-tuning, hyperparameter optimization, deployment, monitoring, drift detection, and continuous optimization
• Establish technical standards and best practices for the entire data science and ML engineering practice, including model development, evaluation criteria, and deployment strategies
• Design and implement novel machine learning approaches when standard solutions prove insufficient for complex business problems
• Ensure high availability, performance, security, cost optimization, and responsible AI governance across all AI systems
• Lead proof-of-concept initiatives for emerging AI technologies (e.g., multi-modal AI, autonomous agents) and assess their potential business impact
• Implement comprehensive MLOps practices including CI/CD for ML, model versioning, A/B testing, and automated retraining pipelines
• AI Strategy, Innovation & Research
• Drive technical decision-making across multiple AI initiatives, providing expertise in selecting appropriate methodologies, frameworks, and approaches for different use cases
• Lead research initiatives to explore cutting-edge AI techniques (reinforcement learning, multi-modal models, graph neural networks) and their practical enterprise applications
• Develop frameworks and methodologies for evaluating and mitigating AI risks, including bias, fairness, explainability, and ethical considerations
• Establish reusable AI accelerators, solution templates, and AWS-based reference architectures to accelerate delivery
• Stay current with the AWS AI roadmap and proactively integrate new capabilities into delivery practices
• Support pre-sales and solutioning for AI opportunities with technical thought leadership
• Team Building & Practice Leadership
• Build, lead, and scale high-performing AI delivery teams comprising Data Scientists, ML Engineers, Data Engineers, and Cloud Architects
• Mentor and guide senior technical leaders, helping them grow their expertise and problem-solving capabilities
• Establish delivery frameworks, engineering standards, code review practices, and a culture of technical excellence
• Drive capability development and upskilling programs aligned with the evolving AWS AI ecosystem
• Lead technical reviews and provide architectural guidance for complex AI solutions across multiple teams
• Collaborate with enterprise architecture and product teams to ensure AI solutions align with broader technical strategies
• Set up and operationalize AI Centers of Excellence (AI CoE) for clients and internal practice
  
  

Required Qualifications & Experience

• 12+ years of experience in technology delivery with at least 7+ years leading AI/ML programs at an enterprise scale
• Deep, hands-on expertise in Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI with a proven track record of leading complex AI initiatives
• Strong architectural experience with AWS cloud services and the AWS AI/ML stack (SageMaker, Bedrock, Lambda, Glue, Redshift, etc.)
• Demonstrated experience deploying LLM-based solutions, RAG architectures, and agentic AI systems using AWS Bedrock or SageMaker
• Proven experience managing large-scale enterprise AI implementations with multi-million-dollar delivery portfolios
• Strong understanding of distributed systems, data engineering pipelines, and scalable ML infrastructure design
• Advanced proficiency in Python and hands-on experience with TensorFlow, PyTorch, Scikit-Learn, Hugging Face, LangChain, and related frameworks
• Comprehensive understanding of MLOps practices and experience designing end-to-end deployment architectures
• Deep knowledge of AI ethics, responsible AI, fairness considerations, and regulatory compliance requirements
• Outstanding executive communication skills with the ability to influence technical direction at CXO levels
• Demonstrated success in building high-performing teams and mentoring senior technical staff
• Master’s degree in Computer Science, AI/ML, Mathematics, Statistics, or related quantitative field (PhD strongly preferred)
  
  

Benefits

What We Offer

• Opportunity to shape the AI practice of a fast-growing enterprise AI company
• Direct impact on high-profile AI transformation programs for global enterprises
• Collaborative, innovation-driven culture with access to cutting-edge AWS AI technologies
• Competitive compensation, performance bonuses, and leadership growth opportunities
• Flexible work arrangements across Mumbai, Bangalore, and Hyderabad
  
  

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