API Lead
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Role details
Tech stack
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Job description
We are seeking a highly experienced API Lead with strong AI Architecture expertise to design and deliver next-generation GenAI platforms. This role will focus on building API-first AI ecosystems, enabling LLM-powered applications, agentic workflows, and intelligent automation at enterprise scale. The ideal candidate will lead the design of scalable AI architectures, integrate LLMs and AI agents with enterprise systems, and drive adoption of modern API frameworks for seamless interoperability across platforms., 1. API Architecture & Platform Leadership
Define and implement API-first architecture strategy for AI and GenAI platforms
Establish API governance including versioning, security, authentication, throttling, and monitoring
Build reusable APIs for:
AI services (LLM integration, inference APIs)
Agent orchestration
Data and knowledge access layers
- AI / LLM Architecture (Primary Focus)
Architect end-to-end GenAI solutions leveraging:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Prompt engineering and orchestration frameworks
Design AI pipelines involving data ingestion, embedding generation, retrieval, and response generation
Define architecture standards for scalability, reliability, and performance optimization
- Agentic AI & Intelligent Automation
Design and implement AI agent frameworks and multi-agent architectures
Build intelligent workflows for:
Task automation
Decision-making systems
Conversational and autonomous agents
Leverage frameworks such as LangChain, LlamaIndex, or similar orchestration tools
- Integration & Microservices Architecture
Lead integration of AI capabilities with enterprise applications using APIs and microservices
Ensure seamless connectivity with:
Enterprise platforms (CRM, ERP, data platforms)
Backend services and digital ecosystems
Promote reusable, modular, and scalable design patterns
- Governance, Security & Responsible AI
Define and enforce Responsible AI practices, data security, and compliance standards
Address key risks including:
Data privacy (PII/PHI handling)
Model hallucination and bias
Auditability and explainability
Implement monitoring frameworks for LLM performance and lifecycle management
- Leadership & Stakeholder Collaboration
Lead architecture discussions, design reviews, and governance forums
Collaborate with business stakeholders, product owners, and engineering teams
Mentor technical teams on AI architecture, API strategy, and GenAI best practices
Drive solutioning and contribute to client-facing discussions and proposals
Requirements
- Strong experience as API Lead / Solution Architect / AI Architect
- Deep expertise in API design and management (REST, GraphQL, API Gateway)
- Strong understanding of microservices and distributed systems architecture
- Hands-on experience with GenAI, LLMs, and prompt engineering
- AI & GenAI Capabilities
Experience designing solutions using:
- LLMs and GenAI platforms
- RAG pipelines and vector databases
- Knowledge of LLM orchestration frameworks and agent architectures
- Familiarity with LLMOps, monitoring, and performance optimization
Technology Stack
- Programming: Python (preferred), Java / .NET (good to have)
- Cloud Platforms: Azure / AWS (AI services, scalable architecture)
- Tools & Frameworks:
- Docker, Kubernetes
- CI/CD pipelines
- API management tools, * Multi-agent systems and autonomous AI workflows
- Enterprise modernization or transformation programs
- Exposure to LLM cost optimization and routing strategies
Soft Skills
- Strong stakeholder communication and client engagement skills
- Strategic thinking with a solution-oriented mindset
- Ability to translate business challenges into AI-driven solutions
Best Regards
About the company
I’m Shikha Dixit, Lead Recruiter at Siri Info Solutions. I’ve been reviewing your background in [API, .Net, AI, Microservices, etc.], and your profile stands out as an excellent match for a “API Lead” opening I have in Alpharetta, GA. This is a high-priority, 5-day onsite role with one of our key clients. Given your experience, I’d love to discuss the details and see if this aligns with your career goals. Are you open to a quick 5-minute chat?
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