AI Solutions Architect - Generative AI & Enterprise AI Strategy

About Client

The client is a global business advisory and technology consulting firm specializing in digital transformation and technology solutions across industries such as insurance, banking & financial services, healthcare, and life sciences. It helps organizations modernize operations through strategic consulting, digital engineering, cloud solutions, data & AI capabilities, automation, and enterprise platform implementations. The company partners with clients to improve customer experiences, optimize processes, reduce operational complexity, and deliver scalable technology solutions.

Salary Range: $160K-$175K/Annum

Job Description

• 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.
• This role requires close collaboration with executive leadership, business stakeholders, product teams, and engineering organizations to build scalable, secure, and responsible AI solutions that accelerate business transformation.

Key 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.

Required Skills & Experience

• 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.

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
• CrewAIAutoGen
• 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.

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. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

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