Senior Technical Architect
Deloitte
5 - 10 years
Bengaluru
Posted: 30/04/2026
Job Description
Senior SEAL Engineer
AI-First Venture Builder
About D71
D71 is Deloittes platform-forward, AI-native forge rapidly building, validating, and scaling new businesses that sit beyond todays core. We dont do incremental innovation. We build a portfolio of scalable ventures that give Deloitte multiple credible paths to future growth. Ventures move through a rigorous lifecycle from Intake through Validation, Alpha, Beta, Production, and Scale governed by stage gates, evidence-based decisioning, and a relentless focus on retiring risk fast.
About the Role
SEALs are the execution backbone of D71 ventures. In Alpha, one SEAL owns one venture end to end from scope document to functional proof of concept. As ventures graduate into Beta and beyond, SEALs lead the transition to production-grade, scalable systems that can support real customers, monetization, and growth. You are the builder, the scope sharpener, and the architect who ensures what ships can scale.
Typical Responsibilities
Alpha Discover & Forge
- Stress-test Alpha scope and validate that the build targets the core hypothesis.
- Create build plans using standardized, disposable architectures optimized for speed and learning.
- Ship working proofs of concept that take real input, produce real output, and generate evidence.
- Own the full technical stack: LLM orchestration, cloud infra, APIs, data pipelines, and frontend.
Beta, Production & Scale Amplify
- Rebuild Alpha POCs into production-grade systems designed for reliability, security, and horizontal scale.
- Architect scalable cloud infrastructure on AWS/GCP: containers, serverless, auto-scaling, observability.
- Stand up engineering quality gates: CI/CD, automated testing, monitoring, SLAs, and incident response.
- Expand and lead venture pods onboard engineers, define workstreams, and ramp the team fast.
- Partner on customer onboarding, usage analytics, billing integration, and API documentation.
Across the Lifecycle
- Define and evolve D71s AI Spec-Driven Development methodology through practice.
- Communicate tradeoffs, scope cuts, and learnings directly to Founders, Stewards, and stakeholders.
- Mentor incoming SEALs on AI-first workflows, culture, and tooling.
- Contribute reusable architecture patterns and engineering primitives back to the D71 platform.
Skills and Qualifications
- 7+ years of software engineering experience, with 2+ years in a senior or lead role building and scaling production systems.
- Deep fluency with AI-driven development AI coding assistants, LLM toolchains, and generative AI are core to your daily workflow.
- End-to-end AI/ML solutioning: problem framing, model selection, prompt engineering, orchestration (LangChain, LlamaIndex, custom), evaluation, and deployment.
- Production AWS and/or GCP experience: infrastructure, CI/CD, containers (Docker, Kubernetes), serverless, and pragmatic cloud architecture under pressure.
- Proven track record taking at least one product from early prototype to scaled production serving real users.
- Proficiency with Git workflows, branching strategies, code review, and CI/CD integration.
- Full-stack capability frontend, backend, and infrastructure. You dont wait to be unblocked.
- Startup, venture studio, or incubation experience where ambiguity was the norm and shipping speed was the metric.
- Strong communication skills you translate technical complexity into plain language and document decisions rigorously.
- BS or higher in Computer Science, Engineering, or related field or equivalent practical experience.
Desired Experience
- Designing for horizontal scalability, high availability, and fault tolerance at production scale.
- Defining engineering methodologies, playbooks, or development lifecycle frameworks.
- Spec-driven, contract-first, or API-first development approaches.
- Professional services, consulting, or enterprise software environments.
- Stage-gated venture models or portfolio governance processes.
- Real-time systems, streaming architectures, or low-latency AI inference.
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