AI Solutions Architect

Spruce Infotech

This role serves as a senior technical leader responsible for designing scalable AI solutions and guiding initiatives from concept through production. The AI Solutions Architect will partner with business stakeholders, engineering teams, and data resources to translate requirements into practical architectures, ensuring solutions are aligned with enterprise standards and built for long-term scalability. This individual will also contribute to establishing best practices, integration patterns, and governance approaches across a growing portfolio of AI initiatives.

Key Responsibilities

Design end-to-end architectures for AI-driven applications, including data flows, APIs, and system integrations
Partner with business and technical stakeholders to translate requirements into scalable solution designs
Provide architectural guidance across multiple AI initiatives, ensuring alignment with enterprise standards and best practices
Define and promote reusable patterns for AI development, integration, and deployment
Support architecture reviews, identifying risks related to scalability, security, and performance
Design and standardize integration approaches across enterprise systems and external services
Collaborate with engineering and data teams to ensure solutions are production-ready and maintainable
Contribute to documentation including architecture diagrams, technical designs, and solution overviews
Evaluate emerging AI tools, platforms, and frameworks and provide recommendations for adoption

Required Skills & Experience

8+ years of experience in solutions architecture, software engineering, or related technical roles
Strong experience designing and delivering complex, multi-system solutions in cloud environments
Understanding of AI/ML concepts, including LLMs and modern AI application patterns
Experience with API design, data integration, and distributed system architecture
Familiarity with cloud platforms (AWS, Azure, or GCP) and modern development practices
Strong communication skills with the ability to work across technical and business stakeholders

Preferred Skills & Experience

Experience supporting AI/ML or GenAI initiatives in production environments
Familiarity with platforms such as OpenAI, Claude, Gemini, or similar AI frameworks
Exposure to data platforms (e.g., Snowflake, BigQuery) and modern data architectures
Experience with event-driven architectures, microservices, or integration platforms

Familiarity with AI governance, security considerations, and responsible AI practices

Apply

Vacancy posted 5 days ago

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