AI Architect / Solution Architect / AI Solution Architect

Job Description:

About the Role

We are seeking a highly experienced AI Solution Architect with strong expertise in enterprise architecture, cloud platforms, and agentic AI solutions. The ideal candidate will possess deep domain knowledge in Financial Services or Life Sciences and have the ability to engage with enterprise customers as a trusted technical advisor.

This role requires someone who can understand complex business challenges, architect scalable AI-driven platforms, and collaborate closely with global delivery teams to implement enterprise-grade AI solutions.

Key Responsibilities

• Design and architect scalable Agentic AI solutions aligned with enterprise business objectives.
• Partner closely with delivery and engineering teams to ensure successful implementation and deployment.
• Act as a trusted technical advisor for customers and stakeholders throughout the solution lifecycle.
• Translate business requirements into secure, scalable, and cloud-native architectures.
• Lead architecture discussions around AI/ML platforms, data engineering, cloud infrastructure, and enterprise integrations.
• Define best practices for AI governance, security, observability, and DevSecOps.
• Architect enterprise-grade AI solutions using modern LLM frameworks and cloud-native services.
• Collaborate with cross-functional teams including engineering, product, security, and operations teams.
• Drive customer confidence by presenting architectural roadmaps, technical strategies, and implementation approaches.
• Support solution deployment, optimization, and continuous improvement initiatives.

Required Skills & Experience

Core Experience

• 6 10 years of experience in Solution Architecture, Cloud Architecture, or Enterprise Architecture.
• Strong expertise in enterprise AI/ML solution design and cloud-native architecture.
• Experience working with enterprise customers in Financial Services or Life Sciences domains.
• Strong understanding of distributed systems, scalable architectures, and modern AI ecosystems.

Cloud & Infrastructure

• Expertise in one or more cloud platforms:
• AWS
• Azure
• Google Cloud Platform (Google Cloud Platform)
• Experience with:
• Kubernetes
• OpenShift
• VMware
• Terraform
• Ansible

AI/ML & Agentic AI

• Hands-on experience with:
• Amazon Bedrock
• SageMaker
• LangChain
• MLflow
• Understanding of:
• LLM orchestration
• AI agents / Agentic AI frameworks
• Prompt engineering
• RAG architectures
• AI observability and governance

Security & DevOps

• Strong exposure to:
• DevSecOps practices
• Zero Trust Architecture
• Infrastructure automation
• CI/CD pipelines
• Monitoring and observability tools such as Grafana and Prometheus