AI Enterprise Solution Architect

What You'll Do

As a Senior Architect, you will lead the design and delivery of enterprise-scale technology solutions across cloud, application modernization, integration platforms, and advanced AI initiatives. You will:

• Architect end-to-end enterprise systems spanning cloud infrastructure, microservices, APIs, integration layers, security, and application modernization.
• Partner with engineering, product, and business teams to translate requirements into scalable, secure, resilient technical architectures.
• Lead architectural governance, design reviews, reference architecture creation, and best practice development.
• Drive hands-on architecture patterns across compute, storage, networking, DevOps, observability, and reliability engineering.
• Guide AI/ML and GenAI solution architecture where relevantdesigning RAG systems, integrating LLM APIs, ensuring safe and governed AI adoption.
• Provide architectural leadership on projects involving workflows, data engineering pipelines, digital platforms, and cloud-native application development.
• Mentor engineers and tech leads, fostering strong engineering practices, automation, secure design, and architectural excellence.
• Work across global teams to align technological choices with enterprise standards and long-term strategic roadmaps.

Agile & Project Coordination

• Collaborate with Product Owners, Scrum Masters, and Delivery Managers to ensure architectural alignment throughout Agile ceremonies and project lifecycles.
• Translate architecture into clear, actionable components for sprint planning and backlog refinement.
• Provide ongoing architectural guidance to development teams, ensuring solution integrity during iterative delivery.
• Coordinate cross-team dependencies, manage risks, and ensure alignment across multiple Agile teams or programs.
• Participate in PI planning, quarterly roadmap sessions, and architectural review forums to support strategic delivery.
• Promote continuous improvement in engineering workflows, DevOps automation, and secure coding practices.
• Ensure solutions meet quality, performance, security, and operational readiness standards while supporting iterative delivery needs

Experience

• 1215 years of total IT experience , with 6+ years as an architect delivering enterprise-grade solutions.
• A track record of architecting distributed systems, cloud-native applications, backend services, and integration platforms at scale.
• Experience in AI/ML or GenAI projects as part of broader solution portfolios , including incorporating LLM APIs, model workflows, or AI-enabled features into enterprise systems.
• Strong understanding of modern application engineering, cloud patterns, security principles, and DevOps practices.

Technical Skills

• Strong proficiency in one or more languages such as Java, Python or TypeScript.
• Expertise in enterprise architecture patterns: microservices, event-driven design, API-first development, message brokers, caching, resiliency patterns.
• Cloud-native engineering experience (AWS preferred), with hands-on work involving serverless, containers, Kubernetes, networking, and IAM.
• Understanding of AI/ML and GenAI technologies, including LLM APIs, RAG patterns, vector search, and safe AI integration.
• Experience with modern frontend frameworks (React.js, Stencil) and backend frameworks.
• Strong grounding in security architecture, OAuth2, IAM, secure coding, OWASP, and compliance requirements.
• Exposure to agentic AI concepts, orchestration frameworks, or MCP-based integrations (nice to have but not mandatory).
• Solid SDLC knowledge , CI/CD automation, infrastructure-as-code, and modern engineering best practices.
• Excellent communication and architectural storytelling skills, enabling alignment across engineering teams, product leadership, governance bodies, and business stakeholders.
• Bachelor's degree in computer science, engineering, or related field (or equivalent experience)

Mindset & Attributes

• Ownership mentality with a bias for hands-on delivery.
• Growth mindset and willingness to continuously learn new AI capabilities.
• Ability to influence without authority and build strong technical partnerships.

YOURE GOOD AT

• Architecting enterprise systems across cloud, APIs, integrations, distributed systems, and modern application stacks.
• Hands-on solution design with the ability to evaluate tradeoffs, performance, scalability, security, and operational impact.
• Designing cloud-native applications and platforms, especially on AWS and Azure (good to have)
• Defining architecture blueprints, reference models, and reusable patterns.
• Cross-functional technical leadership , influencing without authority.
• Supporting AI/ML solutions appropriately, including RAG, LLM APIs, and AI-enabled features without being limited to GenAI systems.
• Communicating architectural decisions clearly to engineering teams, leaders, and non-technical stakeholders.
• Driving secure-by-design principles, governance, and compliance integration.
• Agentic AI & Autonomy Design: You understand agent reasoning loops, tool use, planning, memory systems, and how to design safe autonomous behaviors.
• MCP & Integration Patterns: You can create secure, permissioned MCP tools, actions, and context providers to connect AI workflows with enterprise environments.
• End-to-end solution design: From ingestion to inference to monitoring, you can architect full AI pipelines with reliability and observability built in.
• Technical leadership: You enjoy mentoring engineers, conducting reviews, and elevating architectural quality across teams.
• Problem-solving in ambiguous environments: You thrive in rapidly evolving AI landscapes and can create clarity from complexity.
• Communicating complex concepts: You simplify advanced technical ideas for business leaders, clients, and cross-functional partners.
• Balancing speed, quality, and technical depth, ensuring solutions are secure, maintainable, and aligned to roadmap priorities.
• Staying curious and adaptive, quickly learning new technologies and applying them to enterprise-scale challenges.