Sr. AI Architect
Listed on 2026-09-01
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Architect
Senior AI Architect
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.
- 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.
- 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, CrewAI, Auto Gen, Semantic Kernel, OpenAI Agents SDK, Lang Chain. - Implement agent collaboration, human-in-the-loop workflows, and agent monitoring mechanisms.
- 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/Open Search.
- Lead adoption and integration of AI-assisted development tools including Claude Code, OpenAI 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.
- Build robust CI/CD pipelines for AI applications.
- Implement:
Model evaluation frameworks, Prompt management, Experiment tracking, Cost optimization, AI observability, Production monitoring. - Establish enterprise LLMOps standards and governance models.
- 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.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
- 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.
- GPT-4/5
- Claude
- Gemini
- Llama
- Mistral
- Deep Seek
- Open-source LLM ecosystems
- Lang Chain
- Llama Index
- Vector databases
- Embeddings
- Semantic Search
- Knowledge Graphs
- Hybrid Retrieval
- Lang Graph
- CrewAI
- Auto Gen
- Semantic Kernel
- MCP (Model Context Protocol)
- Tool Calling
- Function Calling
- Agent Memory Architectures
- Python (Expert)
- JavaScript / Type Script
- C#
- Java (Preferred)
- Microsoft Azure (Preferred)
- Azure AI Foundry
- Azure OpenAI
- AWS Bedrock
- Google Vertex AI
- Docker
- Kubernetes
- Git Hub Actions
- Jenkins
- Terraform
- MLflow
- Weights & Biases
- PostgreSQL
- MongoDB
- Cosmos DB
- Redis
- Neo4j
- Vector Databases
- Microsoft Certified:
Azure AI Engineer Associate - Azure Solutions Architect Expert
- AWS Machine Learning Specialty
- Google Professional Machine Learning Engineer
- Databricks Generative AI Certification
Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).