solution architect

Position:
Senior AI Architect – AI Factory (MLOps, GenOps)
Experience:
20+ years of total IT experience with a minimum of 10 years in AI/ML. Proven experience in building scalable AI platforms or "AI Factories" for productionizing machine learning and generative AI workflows, including strong hands-on expertise in MLOps and emerging GenOps practices.
Location:
Bangalore / Pune on case-to-case basis
Role Summary:
We are looking for a Senior AI Architect to lead the design and implementation of a next-generation AI Factory platform that streamlines the development, deployment, monitoring, and reuse of AI/ML and GenAI assets. This role will be instrumental in establishing scalable MLOps and GenOps practices, building reusable components, standardizing pipelines, and enabling cross-industry solutioning for pre-sales and delivery.
The candidate will work closely with the AI Practice Head, contributing to both business enablement and technical strategy while supporting customer engagements, RFP/RFI responses, PoCs, and accelerator development.
Key Responsibilities:

• Architect and build the AI Factory — a central repository of reusable AI/ML models, GenAI prompts, agents, pipelines, APIs, and accelerators.

• Define and implement MLOps workflows for versioning, model training, deployment, CI/CD, monitoring, and governance.

• Design and integrate GenOps pipelines for prompt engineering, LLM orchestration, evaluation, and optimization.

• Create blueprints and templates for standardized AI solution delivery across cloud platforms (Azure, AWS, GCP).

• Build accelerators and reusable modules to speed up AI solutioning for common use cases (e.g., chatbots, summarization, document intelligence).

• Enable pre-sales and solution teams with reusable assets for demos, PoCs, and customer presentations.

• Contribute to RFP/RFI responses with scalable, production-ready AI factory strategies and architectural documentation.

• Collaborate with data engineering, DevOps, cloud, and security teams to ensure robust and enterprise-compliant AI solution delivery.
Required Skills:

• Deep experience in MLOps tools like MLflow, Kubeflow, SageMaker Pipelines, Azure ML Pipelines, or Vertex AI Pipelines.

• Understanding of GenOps frameworks including prompt flow management, LLM evaluation (e.g., TruLens, Ragas), and orchestration (LangChain, LlamaIndex, Semantic Kernel).

• Strong command of Python, YAML/JSON, and API integration for scalable AI component development.

• Experience with CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps), containerization (Docker, Kubernetes), and model registries.

• Familiar with model observability, drift detection, automated retraining, and model versioning.

• Ability to create clean, reusable architecture artifacts and professional PowerPoint decks for customer and internal presentations.
Preferred Qualifications:

• Experience in building and managing an enterprise-wide AI marketplace or model catalog.

• Familiarity with LLMOps platforms (e.g., Weights & Biases, PromptLayer, Arize AI).

• Exposure to multi-cloud GenAI architectures and hybrid deployment models.

• Cloud certifications in AI/ML from any major provider (AWS, Azure, GCP).
Soft Skills:

• Strong leadership and mentoring capabilities.

• Effective communication and storytelling skills for technical and non-technical audiences.

• Innovation mindset with a passion for automation and efficiency.

• Comfortable working in a fast-paced, cross-functional environment with shifting priorities.

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