Overview Expleo is the home of bold and reliable minds. 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. Responsibilities • Presales & Solutioning • Lead the AI/ML solutioning during presales engagements by assessing client requirements, conducting feasibility analysis, and identifying the right-fit technology stack. • Create solution architectures, conceptual models, and high-level designs aligned to client business goals. • 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. • Support internal capability building by defining solution blueprints, reusable assets, and reference architectures. • 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. • Support POCs, pilots, and MVPs to validate solution hypotheses and drive stakeholder buy-in. Qualifications Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field. Essential skills • 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. • Understanding of enterprise architecture, data governance, and compliance (GDPR, HIPAA, etc.). Desired skills • Experience with GenAI/LLM use cases and frameworks (LangChain, RAG pipelines, etc.). • Familiarity with business domains like BFSI, Healthcare, Manufacturing, or Retail. • Prior experience working with consulting firms or system integrators is a strong plus. • Certifications in AI/ML (e.g., AWS Certified Machine Learning Specialty, Microsoft AI Engineer) are desirable. Experience 8+ years of IT experience with at least 3–5 years in designing and architecting AI/ML solutions. Benefits • Collaborative working environment – We stand shoulder to shoulder with our clients and our peers, developing solutions that create a sustainable today and tomorrow. • Continuous learning - Our Learning & Leadership Development team has established a world-class learning ecosystem that enables you to acquire and develop the right skills by delivering a suite of accredited training courses. • Global organisation - We provide solutions to leading brands from various sectors, giving you the opportunity to work with top-tier companies providing impactful solutions to our customers’ customers.