Solution Architect

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. 

Join our team as the expert you are now and create your future.

We are looking for a technically strong and adaptable AI Solution Architect to join our growing AI practice. In this role, you will contribute to the design and implementation of AI-powered solutions across a range of client-facing projects, helping ensure that architectural decisions are sound, scalable, and tailored to the problem at hand.

You will work closely with engineering teams and client stakeholders to design AI systems that leverage traditional machine learning, generative AI, and intelligent automation. This role requires both a solid technical foundation and the ability to flex across different platforms, frameworks, and business needs.
If you enjoy applying architecture principles to complex AI problems, working across multiple technologies, and collaborating with delivery teams to bring ideas into reality, this is a strong fit.

• Requirements:

• Support the architecture and design of AI solutions across multiple projects, ensuring technical feasibility and alignment with client goals
• Contribute to the development of shared architectural patterns, reusable components, and design practices to support both experimental and production-ready AI initiatives
• Evaluate client needs, system constraints, and platform environments to recommend scalable and secure AI designs across cloud, on-prem, or hybrid setups
• Drive architectural decisions related to data pipelines, model orchestration, API development, observability, and integration with enterprise systems
• Apply knowledge of traditional machine learning and generative AI technologies (e.g., LLMs, embeddings, RAG, AI agents) to support diverse solution needs
• Understand and work with orchestration layers and protocols (e.g., tool use, function calling, and emerging standards like MCP) that support multi-step reasoning and agentic workflows
• Serve as a technical resource to project teams by reviewing technical designs, contributing to code and system architecture, and mentoring junior engineers
• Collaborate with delivery leads, and client stakeholders to refine solution designs as project requirements evolve
• Participate in technology evaluation and internal discussions to help shape best practices and strengthen architectural consistency across teams

• Preferences:

• 8+ years of experience in software engineering or AI/ML development, including 2+ years in solution design or architecture roles
• Experience designing AI-powered solutions using machine learning, data pipelines, or generative AI APIs
• Familiarity with enterprise architecture principles and working within production-oriented environments
• Hands-on experience with Python, AI/ML frameworks, and API development
• Exposure to GenAI frameworks and agent orchestration tools
• Understanding of cloud platforms (Azure, AWS) and containerized environments
• Comfort working in agile, project-based environments and collaborating with technical and non-technical stakeholders
• Strong written and verbal communication skills; ability to translate between technical requirements and business goals
• Certifications in Azure, Google Cloud Platform, or Amazon Web Services are highly desirable.
• Bachelor’s degree in Computer Science, Engineering, or related field; advanced degrees or certifications are a plus

Position Level

Manager

Country

India

• Support the architecture and design of AI solutions across multiple projects, ensuring technical feasibility and alignment with client goals
• Contribute to the development of shared architectural patterns, reusable components, and design practices to support both experimental and production-ready AI initiatives
• Evaluate client needs, system constraints, and platform environments to recommend scalable and secure AI designs across cloud, on-prem, or hybrid setups
• Drive architectural decisions related to data pipelines, model orchestration, API development, observability, and integration with enterprise systems
• Apply knowledge of traditional machine learning and generative AI technologies (e.g., LLMs, embeddings, RAG, AI agents) to support diverse solution needs
• Understand and work with orchestration layers and protocols (e.g., tool use, function calling, and emerging standards like MCP) that support multi-step reasoning and agentic workflows
• Serve as a technical resource to project teams by reviewing technical designs, contributing to code and system architecture, and mentoring junior engineers
• Collaborate with delivery leads, and client stakeholders to refine solution designs as project requirements evolve
• Participate in technology evaluation and internal discussions to help shape best practices and strengthen architectural consistency across teams