Position Permanent

Role – AI Architect

Shift Timings- 2PM – 11PM

Experience – 10 – 15 Years

Location – Chennai (WFO)

About the Company

Movate is a new age services company that harnesses the power of digital technologies to reimagine customer engagements. We enable businesses to anticipate and face disruptions effectively through our digital, technology and support services. We are a global customer experience and technology consulting services provider and a digital transformation partner of choice for its clients, which include the world’s top innovators across industries, from mid-market players to large enterprises. We have a diverse team of over 11,500 customer-centric thinkers, collaborators, and co creators across 20 global locations.

About the Role

We are seeking an experienced AI Architect to lead the architecture, development, and enterprise adoption of AI solutions for a leading US Healthcare customer. This role is responsible for designing, developing, and governing secure, scalable, and production-ready AI solutions leveraging Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), and traditional AI/ML technologies. The ideal candidate will combine deep technical expertise with architectural leadership to build enterprise AI platforms, establish engineering standards, and guide cross-functional teams in delivering high-impact AI solutions across healthcare domains such as member engagement, claims, prior authorization, document intelligence, and operational automation.

Key Skills- Generative AI, LLM, RAG, Agentic AI, AI Architecture, Python, Fast API, Azure OpenAI, AWS Bedrock, Vector Databases, Elasticsearch, Enterprise AI Security, Responsible AI, HIPAA, FHIR, X12/EDI, Kubernetes, Docker, Cloud Architecture.

Key Responsibilities

Enterprise AI Architecture & Development

- Lead the architecture, design, and development of enterprise-grade AI solutions for US Healthcare use cases.
- Define and own the enterprise AI architecture roadmap aligned with business and technology strategy.
- Design, develop, and oversee the implementation of Generative AI, LLM, Agentic AI, and RAG-based applications from proof of concept through production deployment.
- Architect end-to-end AI solutions covering data ingestion, document processing, embeddings, vector search, reranking, LLM orchestration, APIs, and application integration.
- Establish reusable AI architecture patterns, reference implementations, coding standards, and development best practices across multiple projects.
- Review solution designs and provide hands-on technical guidance during development, integration, testing, and production deployment.
- Evaluate emerging AI technologies, frameworks, and platforms for enterprise adoption.

Enterprise AI Security & Governance

- Define and implement enterprise AI security best practices across the entire AI application lifecycle, including design, development, deployment, and operations.




- Architect secure AI solutions with robust controls for authentication, authorization, encryption, secrets management, and secure API integrations.
- Design safeguards against AI-specific threats such as prompt injection, jailbreak attacks, data leakage, model misuse, insecure tool calling, and adversarial inputs.
- Implement enterprise guardrails including content filtering, input/output validation, PII/PHI protection, data masking, policy enforcement, and audit controls.
- Ensure AI solutions comply with HIPAA, enterprise security standards, and Responsible AI governance principles.
- Conduct AI threat modeling, architecture risk assessments, security reviews, and vulnerability assessments for AI solutions.
- Establish governance processes for model lifecycle management, prompt versioning, evaluation, monitoring, observability, and AI risk management.

AI Platform Engineering

- Design and oversee the development of scalable AI platforms supporting multiple business applications.
- Build and optimize enterprise RAG architectures with advanced retrieval strategies, hybrid search, vector databases, and contextual retrieval.
- Design AI agent frameworks with secure tool orchestration and enterprise workflow integration.
- Define integration patterns for enterprise systems, APIs, databases, document repositories, and cloud services.
- Drive performance optimization, scalability, reliability, observability, and cost optimization of AI platforms.

Technical Leadership

- Provide technical leadership across multiple AI programs while mentoring AI Tech Leads, senior engineers, and development teams.
- Conduct architecture reviews, code reviews, and design reviews to ensure high-quality, secure, and maintainable AI solutions.
- Collaborate with enterprise architects, security teams, product owners, healthcare domain experts, and engineering teams throughout the development lifecycle.
- Support solution design, customer workshops, technical proposals, and architecture discussions with business stakeholders.
- Stay current with advancements in Generative AI, LLMs, Agentic AI, AI Engineering, and enterprise AI security frameworks, driving adoption of industry best practices.

Required Skills & Experience

Generative AI & Enterprise AI

- Extensive experience designing and delivering enterprise AI solutions using Generative AI, Large Language Models (LLMs), and RAG architecture.
- Solid expertise in:

Prompt Engineering

Agentic AI

AI Orchestration

Embeddings

Vector Databases

Semantic & Hybrid Search

Reranking

Function/Tool Calling

LLM Evaluation





Hallucination Mitigation

Context Management

- Hands-on experience with enterprise AI platforms such as Azure OpenAI, AWS Bedrock, OpenAI, Anthropic, Google Vertex AI, or Hugging Face.

Programming & Backend Development

- Strong proficiency in Python with experience building production-grade AI applications.
- Experience developing REST APIs using FastAPI, Flask, or similar frameworks.
- Solid understanding of microservices, asynchronous processing, distributed systems, and enterprise integration patterns.
- Experience integrating LLMs into enterprise applications through secure APIs and orchestration frameworks.

AI & Data Technologies

- Experience with one or more vectors and search technologies:

Elasticsearch/OpenSearch

Pinecone

FAISS

Weaviate

Chroma

Azure AI Search

- Experience with document intelligence, OCR, PDF/text extraction, metadata enrichment, and enterprise knowledge management.
- Strong understanding of SQL and relational databases.

Cloud & DevOps

- Hands-on experience with AWS and/or Azure cloud platforms.
- Experience with Docker, Kubernetes/OpenShift, Git, CI/CD, and cloud-native deployments.
- Understanding of Infrastructure as Code and production AI operations.

Good to Have

Experience working with US Healthcare Payer or Provider organizations is highly desirable. Knowledge of:

- Claims Processing
- Benefits & Coverage
- Prior Authorization
- Member & Provider Portals
- Explanation of Benefits (EOB)
- Healthcare Document Intelligence
- HIPAA Compliance
- FHIR
- HL7
- X12/EDI Transactions

Leadership & Soft Skills

- Strong enterprise architecture and strategic thinking capabilities.
- Excellent stakeholder management and executive communication skills.
- Ability to influence technical decisions across multiple programs.
- Experience leading cross-functional engineering teams in global delivery environments.
- Strong mentoring and coaching skills with a collaborative leadership style.
- Customer-facing experience in architecture discussions, technical workshops, and solution presentations.

Preferred Certifications

- Microsoft Azure AI Engineer Associate
- Microsoft Azure Solutions Architect Expert
- AWS Certified Machine Learning – Specialty
- AWS Certified Solutions Architect
- TOGAF (Preferred)
- CISSP or equivalent security certification (Preferred)

Pay range and compensation package

Competitive salary based on experience and qualifications.

Equal Opportunity Statement

- We are an equal opportunity employer and are committed to creating a diverse and inclusive workplace.
- We encourage applications from all qualified individuals regardless of race, gender, age, sexual orientation, disability, or any other characteristic protected by law.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, Engineering, Artificial Intelligence, Data Science, or a related discipline.

📌 AI Solution Architect (Chennai)
🏢 Movate Technologies
📍 Chennai