AI Strategy And Product Architect

Siemens; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Siemens Bangalore seeks an AI Architect to lead AI strategy and product architecture across local, hybrid, and cloud platforms. You will guide architecture direction, collaborate with senior stakeholders, and ensure security, reliability, and cost-efficiency in scalable AI solutions.

You will drive reusable patterns, governance, and responsible AI practices while aligning with business goals and regulatory requirements. This role demands expert communication and mentoring across multiple teams.

Qualifications

• Bachelor’s or Master’s degree BE/BTech, MTech.
• 15+ years of architectural experience delivering multi-team software/platform solutions.
• 5+ years designing with hyperscale and cloud-native tech (AWS/Azure/GCP, containers, Kubernetes, APIs).
• Experience in a senior architecture role with enterprise influence.
• Demonstrated AI/ML/GenAI architecture across developer platforms or customer products.
• Experience with developer platforms, AI tools, and production services; CI/CD, observability, security, reliability, cost.
• Experience establishing architecture standards, reusable patterns, governance, and measurable outcomes.
• Knowledge of Responsible AI, AI lifecycle risk, secure development, governance; collaborate with authorities.
• Strong communication, influence, mentoring, and partnership across engineering, product, execs, vendor, governance.

Responsibilities

• Set AI Strategy and Architecture direction, reference architectures, guardrails, and adoption roadmaps.
• Advise senior stakeholders on AI opportunities, architecture, investments, dependencies, and risks.
• Select cloud, hybrid, or Local AI approaches based on data sensitivity, IP, residency, connectivity, latency, security, and cost.
• Assess customer and regulatory needs; determine where AI adds value and propose evidence-based approaches.
• Guide product AI opportunities from discovery through design, validation, release, and operation with cross-functional teams.
• Define reusable product patterns for data, models, retrieval, inference, and deployment across Local/Hybrid/Cloud.
• Address governance, safety, privacy, reliability, performance, explainability, interoperability, lifecycle cost.
• Establish verification, human oversight, monitoring, updates, incident response, rollback.
• Reuse capabilities across product lines; document rationale for architecture choices.
• Translate standards into lifecycle controls; surface gaps and remediation.

Skills

Architectural leadership

AI/GenAI architecture

Cloud-native design

Stakeholder influence

Mentoring

Partnership skills

Communication

Developer platforms

Security & reliability

Cost optimization

Education

BE/BTech

MTech

Tools

AWS

Azure

Google Cloud

Kubernetes

CI/CD

APIs

Job description

Job Description:

Dear Aspirant!

We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.

We are looking for: AI Architect - AI Strategy and Product Architect

You’ll make an impact by:

AI Strategy and Architecture.

• Set GSW AI architecture direction, reference architectures, guardrails, and adoption roadmaps for engineering and products.
• Advise senior stakeholders on AI opportunities, architecture, investment, dependencies, and risks, translating strategy into implementable plans.
• Select cloud, hybrid, or Local AI approaches based on data sensitivity, IP, residency, connectivity, latency, security, and cost.

AI Product Architecture and Opportunity Assessment.

• Assess customer, domain, operational, and regulatory needs with product teams; determine where AI adds value and recommend an evidence-based approach.
• Guide suitable product AI opportunities from discovery through design, validation, release, and operation with product, systems, engineering, quality, cybersecurity, and operations teams.
• Define reusable product patterns for data, models, retrieval, inference, integration, and deployment across Local AI, hybrid, and cloud, aligned to product context.
• Address product safety, cybersecurity, privacy, reliability, performance, explainability, interoperability, maintainability, and lifecycle cost.
• Establish risk-appropriate verification, human oversight, monitoring, updates, incident response, fallback, and rollback practices.
• Reuse capabilities across product lines while documenting rationale for product-specific architecture choices.

Software Factories and Developer Productivity.

• Integrate AI patterns across Software Factory requirements, design, coding, review, testing, documentation, CI/CD, operations, and maintenance.
• Guide reusable developer-platform capabilities: context engineering, semantic search/RAG, MCP or API integrations, prompt/spec libraries, agents, and evaluation.
• Enable secure, context-aware AI workflows for brownfield systems, integrating IDE and CI/CD tools with human review, quality gates, traceability, and rollback.
• Partner with factory, platform, and product teams to validate high-value patterns and scale proven approaches.

Local AI and Tool Assessment

• Evaluate coding agents, models, Local LLMs, inference and retrieval services, and product AI against GSW tasks and benchmarks.
• Assess Local AI pilots for model sources, deployment constraints, access, telemetry, updates, retention, fallback, and ownership; coordinate with product, customer, and platform owners.
• Document evidence, risks, and cost/performance trade-offs; coordinate recommendations with platform, architecture, CYS, Infosec, procurement, and ARM owners.

Governance, Enablement, and Partnerships.

• Translate applicable standards and Siemens processes into lifecycle controls and evidence; surface gaps and coordinate remediation.
• Deliver reusable guidance, training, architecture clinics, and communities of practice for engineering and product teams.
• Develop AI champions, Key Experts, and RKEs through mentoring, assessment, project work, and peer learning.
• Build vendor, academic, industry, and Siemens partnerships; track market developments and share actionable insight.
• Measure outcomes and report progress, validated practices, tool decisions, risks, and recommendations to senior stakeholders.

Use your skills to move the world forward!

• Education: bachelor’s or master’s degree BE/B. Tech, MTech.
• 15+ years of demonstrated architectural experience defining and delivering solutions for complex, multi-team software, platform, or product environments.
• 5+ years designing and delivering solutions with hyperscales and cloud-native technologies (e.g., AWS, Azure, or Google Cloud; containers, Kubernetes, managed services, APIs, and cloud security).
• Currently perform a comparable senior architecture role, with demonstrated architectural leadership and enterprise or multi-team influence.
• Demonstrated AI/ML or GenAI architecture and delivery experience across developer platforms or customer products, including product-use-case assessment and lifecycle guidance.
• Experience with developer platforms, AI tools, and production services; knowledge of CI/CD, observability, security, reliability, performance, and cost.
• Experience establishing architecture standards, reusable patterns, governance controls, and measurable outcomes.
• Knowledge of Responsible AI, AI lifecycle risk, secure development, and governance; able to collaborate with specialist authorities on assurance and approvals.
• Strong communication, influence, mentoring, and partnership skills across engineering, product, executive, vendor, and governance stakeholders.

Preferred Experience

• Experience with Software Factories, industrial/embedded systems, OT/IT, or brownfield engineering.
• Experience designing or assessing Local AI/LLM solutions, inference, model evaluation, retrieval, and lifecycle management.
• Experience in energy, infrastructure, or other safety- and security-sensitive product domains.
• Familiarity with ISO/IEC 42001, ISO/IEC 62443, Siemens ARM, CYS, or enterprise Responsible AI processes.
• Experience partnering with technology vendors, universities, research organisations, or industry communities.

Create a better #TomorrowWithUs!

This role is based in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come.

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.

We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. Were dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

Find out more about Siemens careers at: www.siemens.com/careers

Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds

• Job ID: 524983
• Job type: Full-time
• Work mode: Office/Site only
• Employment type: Permanent
• Location: Bangalore - Karnataka - India

Requirements: