Solution Lead - Artificial Intelligence​/Machine Learning

Job Summary

We are looking for an AI Solutions Lead to support our ongoing critical project activities. The ideal candidate is responsible for lead the architecture, design, and end-to-end delivery of complex AI / ML solutions and translate business requirements into scalable and secure AI system architectures.

• Lead the architecture, design, and end-to-end delivery of complex AI / ML solutions.
• Define and implement AI strategy in alignment with enterprise goals and digital transformation initiatives.
• Translate business requirements into scalable and secure AI system architectures.
• Oversee the development and deployment of AI / ML models in production environments.
• Guide data scientists, engineers, and developers in adopting AI best practices and technologies.
• Drive MLOps and AI lifecycle automation including model training, versioning, testing, deployment, and monitoring.
• Design AI solutions integrated with enterprise platforms (Microsoft, Salesforce, ERP, CRM, data lakes, APIs).
• Ensure responsible AI practices, including ethical considerations, bias mitigation, and regulatory compliance.
• Collaborate with C-level stakeholders and business units to assess use cases, prioritize projects, and define success metrics.
• Mentor and lead technical teams; influence architectural decisions across business units.

• Strong knowledge of machine learning, deep learning, NLP, computer vision, and generative AI.
• Hands‑on experience with frameworks like Tensor Flow, PyTorch, Scikit‑learn, Hugging Face, OpenAI APIs.

• Proven experience in designing scalable and secure cloud‑native AI solutions.
• Deep understanding of microservices, APIs, event‑driven architectures, and real‑time inference systems.

• Experience with tools like MLflow, Kubeflow, Airflow, Sage Maker Pipelines, Vertex AI Pipelines.
• Knowledge of CI / CD pipelines, containerization (Docker), and orchestration (Kubernetes).

• Familiarity with data engineering tools (Spark, Kafka), data lake houses (Delta Lake, Snowflake), and ETL pipelines.
• Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.
• Strong leadership experience managing multidisciplinary AI / ML teams.
• Ability to drive architecture governance, code quality, and technical standards.
• Excellent communication and presentation skills to influence technical and non‑technical stakeholders.
• Strategic thinker with a passion for AI innovation and enterprise transformation.

• 10+ years of experience in software or data architecture roles, with 45 years focused on AI / ML.
• Track record of delivering AI projects at scale in one or more of the following domains: financial services, healthcare, government, telecom, or retail.
• Familiarity with regulatory frameworks for data and AI (e.g., GDPR, HIPAA, ISO 42001).

• AWS Certified Machine Learning Specialty
• Microsoft Azure AI Engineer Associate
• Google Professional Machine Learning Engineer
• TOGAF or other architecture frameworks (optional but valuable)
• Responsible AI or ethical AI certifications (optional)

• Opportunities to work on transformative projects, cutting‑edge technology and innovative solutions with leading global firms across industry sectors.
• Continuous investment in employee growth and professional development with a strong focus on up & re‑skilling.
• Competitive compensation & benefits, ESOPs and international assignments.
• Supportive environment with healthy work‑life balance and a focus on employee well‑being.
• Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.