Job Summary

Position Summary

We are seeking an experienced AI Architect / AI Engineer to design, build, and deploy scalable AI-powered solutions on AWS. The ideal candidate will have hands-on experience with AWS AI/ML services, Generative AI technologies, LLMs, RAG architectures, and AI-driven workflow automation. This role requires a blend of architecture expertise, software engineering skills, and practical experience implementing AI solutions that solve real business problems.

Key Responsibilities

Key Responsibilities

• Design and implement enterprise-grade AI and Generative AI solutions on AWS.
• Architect and develop AI-powered applications leveraging Large Language Models (LLMs), RAG frameworks, vector databases, and intelligent agents.
• Build automated workflows using AI orchestration frameworks and agent-based architectures.
• Integrate AI solutions with enterprise applications, APIs, and cloud-native services.
• Develop scalable APIs and microservices using Python and/or Java.
• Design data ingestion, embedding, indexing, and retrieval pipelines.
• Implement AI governance, security, monitoring, and performance optimization practices.
• Collaborate with business stakeholders to identify AI use cases and translate requirements into technical solutions.
• Evaluate emerging AI technologies and recommend best-fit architectures.
• Mentor development teams on AI engineering best practices and AWS cloud technologies.

Skill Requirements

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
• 5+ years of software engineering experience.
• 3+ years of hands-on experience designing and deploying AI/ML solutions.
• Strong experience with AWS services including:
• Amazon Bedrock
• SageMaker
• Lambda
• ECS/EKS
• API Gateway
• S3
• DynamoDB/RDS
• IAM
• CloudWatch
• Step Functions
• Hands-on experience with Generative AI technologies and LLMs.
• Experience building RAG (Retrieval Augmented Generation) solutions.
• Proficiency in Python and/or Java.
• Experience working with vector databases such as pgvector, OpenSearch, Pinecone, Weaviate, or similar.
• Strong understanding of REST APIs, microservices, and cloud-native architectures.

Preferred Qualifications

• Experience building AI agents and autonomous workflow solutions.
• Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.
• Experience implementing AI-driven document processing and knowledge management solutions.
• Familiarity with MLOps, CI/CD, DevOps, and infrastructure-as-code practices.
• Experience with Amazon Bedrock Knowledge Bases, AI Guardrails, and AI governance frameworks.
• Knowledge of prompt engineering, evaluation frameworks, and LLM optimization techniques.
• AWS Solutions Architect, Machine Learning, or AI certifications.

Desired Skills

• AI Architecture
• Agentic AI
• Workflow Automation
• Prompt Engineering
• AWS Cloud Architecture
• Machine Learning
• Large Language Models (LLMs)
• RAG Architecture
• Vector Search
• API Integration
• Cloud Security
• DevOps & CI/CD
• Python / Java
• Solution Design

Other Requirements

Nice to Have

• Experience in IT Resiliency, Disaster Recovery, Operational Risk, or Enterprise Automation platforms.
• Experience building AI assistants, chatbots, copilots, or intelligent search solutions.
• Experience with Azure OpenAI, OpenAI APIs, or multi-cloud AI architectures.

Success Criteria

• Deliver scalable and secure AI solutions to production.
• Automate business workflows using AI agents and orchestration frameworks.
• Improve operational efficiency through AI-driven automation.
• Establish reusable AI architecture patterns and best practices across the organization.
•  
• Experience Level: Senior / Lead (8+ years preferred)
  Role Type: AI Architect / Senior AI Engineer
  Location: Hybrid/Client location.