Job Description
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, Dev Ops, observability, and reliability engineering.
- Guide AI/ML and Gen AI solution architecture where relevant—designing 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, Dev Ops automation, and secure coding practices.
- Ensure solutions meet quality, performance, security, and operational readiness standards while supporting iterative delivery needs
Experience
- 12–15 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 Gen AI 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 Dev Ops practices.
Technical Skills
- Strong proficiency in one or more languages such as Java, Python or Type Script.
- 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 Gen AI 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.
YOU’RE 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 Gen AI 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.
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, Dev Ops, observability, and reliability engineering.
- Guide AI/ML and Gen AI solution architecture where relevant—designing 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, Dev Ops automation, and secure coding practices.
- Ensure solutions meet quality, performance, security, and operational readiness standards while supporting iterative delivery needs
Experience
- 12–15 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 Gen AI 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 Dev Ops practices.
Technical Skills
- Strong proficiency in one or more languages such as Java, Python or Type Script.
- 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 Gen AI 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.
YOU’RE 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 Gen AI 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.
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