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.

Key Responsibilities :

- 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.

Role Requirements and Qualifications :

1. AI/ML Expertise :

- Strong knowledge of machine learning, deep learning, NLP, computer vision, and generative AI.

- Hands-on experience with frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI APIs.

2. Architecture & System Design :

- Proven experience in designing scalable and secure cloud-native AI solutions.

- Deep understanding of microservices, APIs, event-driven architectures, and real-time inference systems.

3. MLOps & DevOps :

- Experience with tools like MLflow, Kubeflow, Airflow, SageMaker Pipelines, Vertex AI Pipelines.

- Knowledge of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).

4. Data & Integration :

- Familiarity with data engineering tools (Spark, Kafka), data lakehouses (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.

Preferred Experience :

- 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).

Preferred Certifications :

- 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)

Why Join Us :

- 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.