AI Architect

Role overview

AI Architect at Expleo

Responsibilities

• Create solution architectures, conceptual models, and high-level designs aligned to client business goals.
• Support internal capability building by defining solution blueprints, reusable assets, and reference architectures.
• Support POCs, pilots, and MVPs to validate solution hypotheses and drive stakeholder buy-in.

Required qualifications

• Understanding of enterprise architecture, data governance, and compliance (GDPR, HIPAA, etc.). 8+ years of IT experience with at least 3-5 years in designing and architecting AI/ML solutions.

Employment details

• Location: Pune [India]

About the employer

• Expleo is the home of bold and reliable minds.

Additional role details

• With more than 50 years of experience in developing complex products, optimising manufacturing processes, and ensuring the quality of information systems, Expleo boasts an extensive global footprint, powered by 19,000 highly skilled experts delivering value in 30 countries.
• Our efforts in creating a supportive and inclusive workplace in India have earned us some key recognitions: 'Great Place to Work' certification for building a supportive, engaging environment. 'Progressive Place to Work,' by ET Now, for our dedication to innovation and inclusive workplace policies. 'Best Organizations for Women,' by ET Now, for empowering women by providing equal opportunities, supporting professional development and promoting inclusive leadership.
• Presales & Solutioning Lead the AI/ML solutioning during presales engagements by assessing client requirements, conducting feasibility analysis, and identifying the right-fit technology stack.
• Collaborate with sales teams to drive customer conversations, technical workshops, and demos.
• Respond to RFPs/RFIs and develop compelling proposals, effort estimates, and technical presentations.
• Translate complex AI concepts into business language for diverse stakeholders, including CXOs.
• Offer Development & Go-to-Market (GTM) Develop and package AI solution offerings tailored to industry use cases (e.g., predictive maintenance, customer intelligence, document automation, anomaly detection).
• Partner with product and marketing teams to define go-to-market strategies, value propositions, and sales collateral.
• Stay updated on emerging trends in AI/ML, GenAI, MLOps, LLMs, and related ecosystems to ensure competitive positioning of offerings.
• Act as a trusted advisor to clients on AI-driven digital transformation initiatives.
• Participate in initial project mobilization, ensuring smooth hand-off to delivery teams with a clear understanding of solution architecture, risks, and assumptions.
• Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field.
• Deep knowledge of machine learning, deep learning, NLP, LLMs, and MLOps pipelines.
• Experience with cloud AI/ML platforms (AWS Sagemaker, Azure ML, Google Vertex AI).
• Proficiency in Python, ML libraries (scikit-learn, TensorFlow, PyTorch), and data frameworks.
• Demonstrated success in presales roles: proposal writing, effort estimation, pricing strategies.
• Excellent communication, presentation, and stakeholder management skills.