Sr. AI Architect

Job-ID Reference
26-12959

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Role Overview We are seeking an experienced Senior AI Architect to lead the design, development, and deployment of next-generation Generative AI and Agentic AI solutions. The ideal candidate will have deep expertise in Retrieval-Augmented Generation (RAG) pipelines, AI coding assistants such as Claude Code, OpenAI Codex, and Cline, and experience building autonomous AI agents capable of reasoning, planning, and executing complex business workflows.

This role requires a hands-on technical leader who can define AI strategy, architect enterprise-grade AI platforms, guide engineering teams, and drive innovation across GenAI, LLMOps, and intelligent agent ecosystems.

Key Responsibilities AI & GenAI Architecture Design and implement enterprise-scale Generative AI solutions using Large Language Models (LLMs).Architect advanced RAG-based systems incorporating vector databases, semantic search, enterprise knowledge repositories, and hybrid retrieval models.

Define scalable AI architectures covering data ingestion, embeddings, retrieval, orchestration, guardrails, observability, and evaluation frameworks.

Establish AI governance, security, compliance, and responsible AI practices.

Agentic AI & Autonomous Systems Design and develop multi-agent and Agentic AI solutions capable of planning, reasoning, tool usage, memory management, and workflow orchestration.

Build autonomous agents using frameworks such as:
Lang Graph Crew AIAuto Gen Semantic  Kernel

OpenAI Agents SDKLang Chain Implement  agent collaboration, human-in-the-loop workflows, and agent monitoring mechanisms.

RAG Engineering Architect and optimize:
Knowledge ingestion pipelines

Document chunking strategies

Embedding architectures

Query optimization

Re-ranking models

Hybrid search implementations

Work with vector databases such as:
Pinecone Weaviate Qdrant Chroma Azure  AI Search Elasticsearch/OpenSearchAI Coding Platforms & Developer Productivity Lead adoption and integration of AI-assisted development tools including:
Claude CodeOpenAI Codex Cline Git Hub  Copilot Cursor Define  standards and best practices for AI-driven software engineering and code generation workflows.

Architect AI-powered SDLC automation capabilities.

LLMOps & Platform Engineering Build robust CI/CD pipelines for AI applications.

Implement:
Model evaluation frameworks

Prompt management

Experiment tracking

Cost optimizationAI observability

Production monitoring

Establish enterprise LLMOps standards and governance models.

Technical Leadership Mentor architects, engineers, and AI specialists.

Define technology roadmaps and AI strategy aligned with business objectives.

Engage with stakeholders, product teams, and executive leadership to translate business challenges into AI solutions.

Evaluate emerging AI technologies and recommend adoption strategies.

Required Qualifications Education Bachelor 's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Experience
12 years of overall software engineering experience.
5 years in AI/ML solution architecture.
2 years building production-grade Generative AI applications.

Proven experience delivering enterprise-scale AI platforms.

Technical Skills Generative AI & LLMsGPT-4/5

Claude Gemini Llama Mistral Deep Seek Open -source LLM ecosystems RAG Technologies Lang Chain Llama Index Vector  databases

Embeddings

Semantic Search Knowledge Graphs Hybrid Retrieval Agentic AILang Graph Crew AIAuto Gen Semantic  KernelMCP (Model Context Protocol)
Tool Calling Function Calling Agent Memory Architectures…