Solution Architect (India)

Code and Theory

Bengaluru

On-site

INR 4,000,000 - 8,000,000

Full time

9 days ago

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Job summary

Code and Theory is seeking a Solution Architect in Bengaluru to lead enterprise AEM engagements, drive end-to-end architecture, and manage delivery across complex ecosystems within the Adobe stack.

You will mentor teams, shape technical strategy, and partner with product, design, and clients to achieve business outcomes while embracing AI-enabled development practices.

Qualifications

  • Total 12–15 years of IT experience with architecture and delivery leadership.
  • 5+ years hands-on Adobe Experience Manager engineering, including AEMaaCS.
  • Proven track record owning enterprise AEM engagements and architecture.
  • Experience delivering multi-workstream engagements with client accountability.
  • Hands-on coding in the defined technologies and familiarity with AI-enabled approaches.

Responsibilities

  • Own end-to-end solution blueprint and architectural governance for engagements.
  • Lead architecture reviews and ensure secure, scalable enterprise implementations.
  • Run discovery workshops translating business problems into AEM architectures.
  • Define integration patterns within the Adobe Experience Cloud ecosystem.
  • Produce architecture docs, diagrams, and decision records for teams and clients.
  • Support pre-sales with technical solutioning, effort estimation, and staffing.
  • Drive delivery accountability: sprint planning, release management, risk tracking.
  • Ensure on-time, on-budget delivery against scope and client expectations.
  • Communicate progress, risks, and trade-offs to stakeholders and leadership.
  • Mentor engineers, foster ownership, and scale global teams.
  • Lead AEM delivery across Sites, Assets, Forms, and Headless projects.

Skills

Leadership & mentoring
Architecture & delivery
Client communications
Governance
AI-enabled development

Tools

Adobe Experience Manager (AEM)
AEM as a Cloud Service
Java
GraphQL
CI/CD (Adobe Cloud Manager)

Job description

Solution Architect

Our engineering team ensures Code and Theory delivers innovative, immersive web experiences that delight our clients and their customers. We are always striving to balance the demanding nature of working on cutting-edge technologies with the real-world demands of high performance, high security, and accessibility. Working in collaboration with our multi-disciplinary engineering, design, and quality assurance teams, you will build software that solves real-world problems for incredible clients. This role sits within our Adobe practice, where we design and build enterprise content and experience platforms for global brands. Our AEM work increasingly spans modern frontend stacks including React and NextJS, and integrates with the wider Adobe Experience Cloud ecosystem.

In this role you will partner with cross-functional teams to shape the right technical solution and then drive its execution (50/50), balancing architectural integrity against delivery reality.

WHAT YOU’LL DO:Architecture:

  • Own the solution blueprint end to end for your engagements — current-state assessment, target architecture, integration design, and the sequencing roadmap to get there.
  • Lead architecture reviews and technical governance, ensuring scalable, secure, enterprise-grade implementations.
  • Run technical discovery and requirements workshops with clients, translating business problems into AEM-based architectures.
  • Define how AEM fits within the client's wider enterprise ecosystem — integration patterns across CRM, commerce, search, analytics, identity and data platforms.
  • Evaluate and defend architectural trade-offs — headless versus hybrid, EDS versus AEMaaCS, build versus configure — to both technical and business stakeholders.
  • Produce architecture documentation, diagrams and decision records that the delivery team and the client can both work from.
  • Support pre-sales and pursuit work: technical solutioning, effort estimation, staffing shape and scope definition.
Delivery:
  • Own delivery accountability for your engagements: sprint planning, release management, dependency tracking, risk identification and escalation.
  • Ensure predictable, high-quality, on-time and on-budget execution against committed scope.
  • Produce and defend delivery estimates; manage scope change and change requests with the client.
  • Report delivery status, risks and trade-offs directly to client stakeholders.
  • Partner with Delivery and Resourcing on staffing plans, capacity forecasting and utilization.
  • Run delivery governance — quality gates, definition of done, and release readiness.

General:

  • Lead and grow a high-performing team of engineers, fostering a culture of ownership, innovation, continuous learning, and engineering excellence.
  • Drive the delivery of scalable, secure, and maintainable products while balancing technical quality, business impact, and speed of execution.
  • Actively participate in architecture, system design, code reviews, and critical technical decision-making, serving as a technical leader for the team.
  • Remain genuinely hands-on in code — proofs of concept, framework and foundation code, complex components, and unblocking the team on hard problems — while recognising you will not be the primary implementer at this level.
  • Champion AI-enabled software development practices, leveraging tools such as Claude, Cursor, and Vercel/V0 to improve productivity, quality, and developer experience.
  • Continuously evaluate and introduce modern engineering practices, tools, automations, and workflows that enhance team effectiveness and accelerate delivery.
  • Mentor and coach engineers through hands-on guidance, technical leadership, and helping them grow their technical and problem-solving capabilities.
  • Partner closely with Product, Design, Architecture, and other cross-functional stakeholders to align engineering efforts with strategic business outcomes.
  • Build and scale global engineering teams through hiring, performance management, and fostering an inclusive, collaborative, and high-accountability culture.
  • Establish and uphold engineering standards around architecture, testing, CI/CD, observability, security, and operational excellence.
  • Represent the engineering team with senior leadership, customers, and partners, effectively communicating technical strategy, progress, risks, and opportunities.
  • Lead engineering delivery across AEM implementations — Sites, Assets, Forms, and Headless — including AEM as a Cloud Service and Edge Delivery Services builds.
  • Own technical execution on complex CMS migrations, including legacy AEM to AEMaaCS/EDS and third‑party CMS platforms into the Adobe ecosystem.
  • Own the solution blueprint and hold the delivery team accountable to architectural intent.
  • Partner with Multi-Solution Architects where engagements extend into the wider Adobe stack.
  • Guide integration of AEM with the broader Adobe Experience Cloud stack and enterprise third‑party systems (CRM, commerce, search, analytics, identity/SSO).

Required Experience & Skills:

  • Total 12–15 years of IT experience, including 5+ years in a senior technical leadership role spanning architecture and delivery — as a Solution Architect, Technical Lead, or Engineering Manager — with a proven track record as a Lead/Senior Engineer prior to that.
  • 5+ years of hands‑on Adobe Experience Manager engineering, including AEM Sites and Assets, with recent experience on AEM as a Cloud Service.
  • Demonstrated experience owning solution architecture for enterprise AEM engagements - not just implementing someone else's design.
  • Experience producing delivery estimates, scope documents and staffing plans, and defending them when scope shifts.
  • Track record of delivering multi-workstream engagements on time and on budget, with direct client accountability for status and risk.
  • Experience running architecture reviews and technical governance across concurrent engagements.
  • Strong hands‑on Java and AEM core development: Apache Sling, Sling Models, OSGi bundles and services, HTL/Sightly, JCR, workflows, schedulers, and event handlers.
  • Experience with Edge Delivery Services, or demonstrable AEM depth plus a credible path to ramping quickly.
  • Proven experience leading at least one large-scale CMS migration or AEMaaCS modernization end to end.
  • Hands‑on experience with Adobe Cloud Manager CI/CD pipelines, dispatcher configuration, caching strategy, and AEM performance tuning.
  • Experience delivering AEM in a client‑services, agency, or consulting context — including scoping, estimation, and direct client communication.
  • Mandatory current experience in hands‑on coding in the above technologies and beyond.
  • Strong experience working with headless content delivery patterns, including AEM Headless (Content Fragments, GraphQL APIs) and third‑party headless CMS platforms such as Contentful, Sanity, or ContentStack.
  • Experience working in modern client‑services or agency delivery environments, embracing iterative delivery, rapid feedback loops, and outcome‑driven execution across concurrent client engagements.

AI-Enabled Engineering Leadership (Mandatory)

  • Demonstrated expertise in AI-assisted software development is mandatory.
  • Extensive hands‑on experience using AI engineering tools such as Claude, Cursor, GitHub Copilot, ChatGPT, or equivalent platforms to accelerate software delivery, architecture design, debugging, code reviews, testing, documentation, and developer productivity.
  • Hands‑on experience developing agents, sub‑agents, workflow orchestration and automation with agents.
  • Proven ability to effectively integrate Agentic Engineering into day‑to‑day engineering workflows and establish best practices for AI‑enhanced processes across teams.
  • Experience evaluating, adopting, and driving emerging AI technologies and engineering practices within an organization.
  • Ability to mentor engineers on AI-native development approaches and foster a culture of continuous learning and innovation.
  • Candidates should be comfortable demonstrating practical AI‑
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