Lead Agentic AI Solutions Architect

Position Title

Lead Agentic AI Solutions Architect

Hybrid (2 days/week in office) or Remote, based on business needs and location requirements

6 month Contract to Hire/Permanent

C2H

Hybrid / Remote

We are seeking an experienced Lead Agentic AI Solutions Architect to lead the end-to-end delivery of enterprise AI and automation solutions that transform business operations and drive measurable business value. This role will partner with business, product, engineering, and architecture teams to identify strategic opportunities, design scalable AI systems, and ensure responsible AI practices are embedded throughout the solution lifecycle.

• Lead the full lifecycle of Agentic AI and automation solutions, from discovery and architecture through deployment, support, and optimization.
• Identify, prioritize, and deliver high-impact AI use cases aligned with business objectives and measurable outcomes.
• Design scalable AI architectures leveraging AI agents, large language models (LLMs), enterprise platforms, APIs, and workflow automation technologies.
• Establish AI engineering standards, architecture patterns, governance controls, and reusable capabilities while ensuring responsible AI practices.
• Provide technical leadership and mentorship to engineering and architecture teams, promoting innovation, technical excellence, and continuous improvement.

• 10+ years of experience in software engineering, solution architecture, application development, or platform engineering.
• 5+ years of experience designing and implementing AI-enabled enterprise solutions.
• Strong proficiency in Python and modern agentic AI software engineering practices.
• Experience designing enterprise integrations using APIs, microservices, event-driven architectures, and MCP frameworks.
• Proven experience leading technical delivery efforts across multiple teams and stakeholders, with strong communication and collaboration skills.

• Experience with Agentic AI frameworks such as Lang Chain, Lang Graph, Semantic Kernel, Auto Gen, Claude Agent SDK, or similar technologies.
• Expertise with Azure cloud services, Azure AI Foundry, and cloud-native architecture patterns.
• Experience with Docker, Kubernetes, CI/CD pipelines, Human-in-the-Loop workflows, and Responsible AI governance frameworks.

• 10+ years of relevant technology experience in software engineering, architecture, or platform development.
• Experience delivering AI, machine learning, intelligent automation, or enterprise workflow solutions in large-scale environments.
• Hands-on experience with LLMs, AI agents, retrieval systems, orchestration frameworks, Azure technologies, APIs, and microservices-based architectures.

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field; equivalent practical experience will also be considered.
• Master's degree or Doctorate in a related discipline is preferred and may offset some experience requirements.
• Relevant certifications in cloud platforms, AI technologies, architecture frameworks, or software engineering are considered an asset.

In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.

We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package.

Our commitment to excellence is reflected in many awards, including Clearly Rateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.