AI Solutions Architect - Generative AI & Enterprise AI Strategy

ApTask
New York, NY, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$160,000.0 - $175,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Encodings Graph Database Monitoring of Systems Python (Programming Language) Knowledge Management Search Technologies Software Deployment Enterprise Software Applications
+17 more
Large Language Models Multi-Agent Systems Prompt Engineering IT Architecture Model Validation Generative AI Event Driven Architecture AI Platforms Kubernetes Information Technology Machine Learning Operations Virtual Agents Restful APIs GPT Automation Anywhere Docker Microservices

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., * 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.

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 the company

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.

Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

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