AI Solutions Architect – Generative AI & Enterprise AI Strategy

We are seeking an experienced AI Solutions Architect with 15+ years of IT experience to lead the design, architecture, and implementation of enterprise-scale Artificial Intelligence solutions. The ideal candidate will possess deep expertise in Generative AI (GenAI), Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), AI Governance, and Enterprise AI Architecture, with a proven ability to drive AI adoption across enterprise business functions.

Responsibilities

• Define and execute enterprise AI strategy, architecture, and technology roadmap aligned with business objectives.
• Design and architect scalable Generative AI, Agentic AI, AI Copilots, Retrieval-Augmented Generation (RAG), GraphRAG, and Knowledge Management solutions.
• Evaluate, benchmark, and recommend appropriate LLMs including OpenAI GPT, Claude, Gemini, Llama, Mistral, Cohere, and other emerging foundation models.
• Design AI applications utilizing Multi-Agent Systems, autonomous AI workflows, and intelligent orchestration frameworks.
• Build enterprise AI architectures leveraging Azure AI Foundry, Azure OpenAI, AWS Bedrock, Google Vertex AI, and cloud-native AI services.
• Lead architecture for LLMOps, model deployment, prompt management, AI monitoring, model evaluation, governance, and lifecycle management.
• Design enterprise semantic search, vector search, embedding pipelines, and retrieval architectures using modern vector databases.
• Establish AI governance, Responsible AI, security, compliance, privacy, and risk management frameworks.
• Collaborate with engineering teams to integrate AI capabilities into enterprise applications using APIs, microservices, and event-driven architectures.
• Optimize AI solution performance, inference latency, token utilization, scalability, and operational costs.
• Provide technical leadership throughout the AI solution lifecycle from discovery and proof of concept through production deployment.
• Partner with executive stakeholders to identify AI use cases, define business value, and lead enterprise AI transformation initiatives.
• Mentor architects and engineering teams on AI architecture best practices and emerging technologies.

Requirements

• 15+ years of overall IT experience.
• 7+ years in Solution Architecture or Enterprise Architecture.
• 3+ years of hands-on experience designing and delivering Generative AI solutions in enterprise environments.

Skills

• Strong expertise in:
  • Generative AI
  • Large Language Models (LLMs)
  • Agentic AI
  • Multi-Agent Systems
  • AI Copilots
  • Prompt Engineering
  • Prompt Chaining
  • AI Reasoning Workflows
• Experience working with:
  • OpenAI GPT
  • Claude
  • Gemini
  • Llama
  • Mistral
  • Cohere
• Deep understanding of:
  • Retrieval-Augmented Generation (RAG)
  • GraphRAG
  • Vector Databases
  • Embeddings
  • Semantic Search
  • Knowledge Graphs
• Hands-on experience with:
  • LangChain
  • LangGraph
  • LlamaIndex
  • Semantic Kernel
  • CrewAI
  • AutoGen
  • MCP (Model Context Protocol)
• Experience building AI solutions on:
  • Azure AI Foundry
  • Azure OpenAI Service
  • AWS Bedrock
  • Google Vertex AI
• Strong knowledge of:
  • Python
  • REST APIs
  • Microservices
  • Docker
  • Kubernetes
• Experience with:
  • AI Governance
  • Responsible AI
  • LLMOps
  • Model Monitoring
  • Model Evaluation
  • AI Security
  • AI Compliance
• Excellent consulting, communication, and executive stakeholder management skills.

About ApTask

ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development.