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 relevant—designing RAG systems, integrating LLM APIs, ensuring secure 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





- 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 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.

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 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.

📌 AI Enterprise Solution Architect (Gurugram)
🏢 Intelliserve Konsulting
📍 Gurugram