
Solution Architect
Huron Consulting Group6 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Support the architecture and design of AI solutions across multiple client projects.
- Develop shared architectural patterns, reusable components, and design practices for experimental and production-ready AI initiatives.
- Evaluate client needs, system constraints, and platform environments to recommend scalable and secure AI designs across cloud, on-premises, and hybrid setups.
- Make architectural decisions involving data pipelines, model orchestration, API development, observability, and enterprise-system integration.
- Apply traditional machine learning and generative AI technologies, including LLMs, embeddings, RAG, and AI agents.
- Work with orchestration layers and protocols such as tool use, function calling, and MCP to support agentic workflows.
- Review technical designs, contribute to code and system architecture, and mentor junior engineers.
- Collaborate with delivery leads and client stakeholders as project requirements evolve.
- Participate in technology evaluation and internal discussions to shape best practices and architectural consistency.
Requirements
- 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 production-oriented environments.
- Hands-on experience with Python, AI/ML frameworks, and API development.
- Exposure to generative AI frameworks and agent orchestration tools.
- Understanding of Azure and AWS cloud platforms and containerized environments.
- Ability to collaborate with technical and non-technical stakeholders and translate technical requirements into business goals.
- Strong written and verbal communication skills.
- A bachelor's degree in Computer Science, Engineering, or a related field is required; advanced degrees or certifications are a plus.
- Certifications in Azure, Google Cloud Platform, or Amazon Web Services are highly desirable.
Tech Stack
Categories
Solutions Engineering