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
• 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. …