Principal Power Platform AI Developer Job at NTT DATA (Hyderabad)

Principal Engineer - AI Platform Development (Azure PostgreSQL)

Microsoft’s Azure Data engineering team is leading the transformation of analyti...

Location

Spain , Barcelona

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND extensive technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Lead the design and development of AI Store capabilities in Azure PostgreSQL, including vector search, semantic indexing, and AI-optimized database features to power the next generation of intelligent applications
Architect intuitive, scalable APIs, SDKs, and extensibility layers that bring advanced database and AI capabilities into the hands of developers
Create seamless developer experiences by integrating PostgreSQL services with modern development tools, frameworks, and cloud platforms accelerating application development on Azure PostgreSQL
Partner closely with database engine engineers, product managers, and developer advocates to translate developer needs into deep system and platform innovations
Design and deliver high-quality interfaces, SDKs, samples, and documentation that make building AI-powered applications on PostgreSQL accessible, powerful, and joyful
Engage with open-source communities, technology partners, and developer ecosystems to amplify impact, gather feedback, and inform platform evolution
Champion a developer-first mindset while advancing technical excellence, scalability, and innovation across the stack from database internals to developer workflows

Fulltime

Principal Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

232000.00 - 319000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows
Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms
Production experience with modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing developer tools, platform engineering systems, or internal tools that enable other teams
Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs
Strong communication skills with ability to influence technical and non-technical stakeholders across the organization
Track record of technical mentorship and elevating engineering teams' capabilities

Job Responsibility

Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents
Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers
Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management
Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks
Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation
Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days
Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization
Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Senior Principal Product Manager – Partner Experience & AI Platform

Zalando is on a mission to become a pan-European fashion and lifestyle ecosystem...

Location

Finland;Germany , Helsinki;Berlin

Salary:

Not provided

Zalando Lounge

Expiration Date

Until further notice

Requirements

10+ years of experience in high-scale platforms, SaaS, or Marketplaces
Understanding of APIs-as-products, developer experience (DX), and the nuances of building distributed platform services
Technically firm in the Generative AI stack
Deep understanding of LLM orchestration, Agentic workflows, and how to move from AI experimentation to production-grade automation
Expert at driving alignment across complex organizations
Ability to manage high-stakes change management and strategic programs without requiring direct line-management authority
Can spar with Principal Engineers on architecture and system design, then pivot to a commercial leadership meeting to discuss partner performance and scalability
Advocate for high-quality, consistent digital experiences as a strategic differentiator for our ecosystem
believe enterprise software should be as intuitive as B2C

Job Responsibility

Oversee the end-to-end digital partner journey
Look beyond individual team boundaries to identify friction points in the ecosystem, coordinating cross-functional efforts to drive a cohesive, high-performance experience for our brands
Define the vision and strategy for our central AI Platform powering our digital partner ecosystem
Build internal infrastructure—such as LLM orchestration, agentic frameworks, and RAG patterns—that empowers our product teams to deploy intelligent automation for partners
Be a key driver of our platform evolution, ensuring our infrastructure is modular, extensible, and ready to integrate deeply with relevant external systems of our partners via APIs and autonomous agents
Directly oversee the roadmap for key central products, including our Partner Design System and the foundational technical infrastructure upon which partner-facing digital applications are built
Act as a high-bandwidth bridge between Engineering and leadership
Translate complex technical trade-offs into compelling business narratives that align with our long-term ecosystem goals
Play an active role in leveling up our product craft by coaching and mentoring more junior product colleagues in your product area and become a key member of our product craft leadership team in Partner Tech

What we offer

27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available

Fulltime

Sr. Distinguished AI Engineer (Agentic AI Platform)

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , San Jose, California; San Francisco, California

Salary:

343400.00 - 392000.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies
At least 10 years of experience programming with Python, Go, Scala, or Java
9 years of experience deploying scalable and responsible AI solutions on cloud platforms
2+ years of experience supporting Agentic Frameworks
2+ years of experience with LLMOps
8+ years of experience designing mission-critical machine learning platforms
2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang
Master's degree in Computer Science, Computer Engineering, or relevant technical field

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs
Standardizing and automating agentic workflows
Contribute to crafting an end to end GenAI SDK, CLI and starter kits
Help bring together a vision of central guardrail services
Collaborate with cross organization architects to drive end to end performance
Accelerate innovation by incubating proof of concepts and driving RFCs
Own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs
Coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Senior Principal AI Infrastructure Architect

The Senior Principal AI Infrastructure Architect is a highly skilled and advance...

Location

Italy , Milano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Significant experience in a consulting, presales or architecture role within a large-scale (preferably multi-national) technology services environment, with a track record of leading AI infrastructure pursuits
Demonstrable experience designing and delivering production AI platforms — from single multi-GPU servers through to multi-rack training clusters and inference factories
Strong working knowledge of the AI hardware vendor landscape (NVIDIA, AMD, Intel, Dell, HPE, Lenovo, Supermicro, Cisco, Pure, VAST, WEKA, DDN, NetApp) and how to position partner ecosystems competitively
Proven ability to translate AI workload requirements (model size, parameter count, sequence length, throughput SLOs, latency targets) into accurate hardware bills of materials and sizing justifications
Significant client engagement and consulting experience, including client needs assessment, change management and the ability to identify whitespace for follow-on AI infrastructure and managed-services work
Significant business development and presales experience on infrastructure-led deals, ideally including sovereign AI, AI Factory or regulated-industry GenAI programmes
Strong understanding of how AI infrastructure integrates with business processes, applications, data platforms and existing enterprise architecture
Bachelor's degree or equivalent in Information Technology, Engineering, Computer Science or a related field
Deep, hands-on knowledge of AI hardware: GPU and accelerator portfolios (NVIDIA Hopper / Blackwell, AMD MI300/MI325, Intel Gaudi 3, emerging custom silicon), host CPU platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), system topologies (HGX, DGX, MGX, OAM) and how each choice maps to specific AI workloads
Strong understanding of AI-class storage: parallel filesystems, all-flash NVMe platforms, S3-class object stores, checkpoint and dataset pipelines and the I/O patterns of large-scale training and inference (VAST, WEKA, DDN EXAScaler, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)

Job Responsibility

Lead the end-to-end design of large, complex AI infrastructure solutions — covering accelerated compute (NVIDIA H100/H200/B200 and GB200 NVL72, AMD Instinct MI300X/MI325X, Intel Gaudi 3), CPU host platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), high-throughput storage tiers and lossless AI fabric — for enterprise, sovereign AI and AI Factory clients
Architect reference designs built on NVIDIA DGX/HGX SuperPOD, Dell AI Factory with NVIDIA, Cisco Nexus HyperFabric AI, HPE / Lenovo / Supermicro accelerated compute and equivalent platforms, balancing single-node performance with cluster-scale efficiency
Size and validate GPU clusters against real workloads — foundation-model pre-training, distributed fine-tuning, RAG, real-time and batch inference — using the right combination of NVLink/NVSwitch domains, InfiniBand NDR/XDR or Ultra Ethernet / NVIDIA Spectrum-X fabrics and tiered NVMe and parallel storage (VAST, WEKA, DDN, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)
Define the supporting datacenter design: high-density power (50–140 kW/rack), direct-to-chip and rear-door liquid cooling, structured cabling for AI fabrics and modular deployment models across on-prem, colo and sovereign-cloud footprints
Work closely with the sales team to drive the presales process for AI infrastructure pursuits — client discovery, technical workshops, proposal writing, executive presentations and bid defence
Translate clients' AI ambitions and business outcomes into a hardware and platform roadmap, positioning NTT DATA's end-to-end portfolio — silicon, systems, storage, fabric, MLOps stack and managed services — to land service-led AI solutions
Lead integration of compute, storage, networking, the AI software stack (CUDA, ROCm, Triton, NIM, NVIDIA AI Enterprise, Run:ai, Slurm, Kubernetes / Kubeflow) and managed-service operating models across multiple domains, delivery units and geographies
Build business cases, TCO and unit-economics models (cost per token, cost per training run, GPU-hour economics) and end-to-end transition roadmaps for cloud-to-private AI migrations and sovereign AI deployments
Define architectural principles for AI infrastructure — accelerator utilisation, data gravity, multi-tenancy, model lifecycle, energy efficiency — and apply them to influence architectural outcomes and governance
Develop As-Is, Vision, FMO and To-Be AI platform architectures, identify gaps and develop transition roadmaps

Fulltime

Principal AI Product Manager, Technical

Principal Innovation Product Manager, Technical is a visionary, strategist, anal...

Location

United States , Bellevue

Salary:

139700.00 - 252000.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Engineering, IT or equivalent experience
8+ years’ experience in hands on technical role writing production code, solution engineering, or technical archtecture in large scale company / appplication / product environment
More than 10 years Relevant Product Management experience in an agile software product development environment
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Vision & Strategy for AI Products
Owns strategy, roadmap, and lifecycle for enterprise AI products and reusable AI capabilities serving multiple customer journeys, business units, or platforms
Accountable for measurable business outcomes including revenue growth, cost reduction, adoption, retention, automation impact, and customer experience improvement
Drives multi-year product investment strategy, including business cases, funding requests, and prioritization of AI initiatives across a portfolio of opportunities
Own the product lifecycle for complex technical solutions, ensuring alignment with business objectives and customer needs
Conducts deep customer research and market analysis to identify breakthrough AI opportunities
Defines success metrics and tracks progress against ambitious growth targets
Anticipates AI trends and competitive threats, incorporating insights into product strategy
Conducts analysis of quantitative and qualitative data to identify product innovation opportunities or root cause of issues, and assess opportunity size and impact
May work with data scientists to answer complex questions or identify meaningful insights from data

What we offer

competitive base salary and compensation package
annual stock grant
employee stock purchase plan
401(k)
free, year-round money coaches
medical, dental and vision insurance
flexible spending account
paid time off
up to 12 paid holidays
paid parental and family leave

Fulltime

Staff / Principal Platform Engineer

Join our team as a Staff / Principal Platform Engineer and take end-to-end owner...

Location

United States , Mountain View, California

Salary:

280000.00 - 350000.00 USD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

8-10 years of experience in software engineering
3+ years of experience with infrastructure-as-code
Proficiency in managing Kubernetes clusters and applications, including creating Kustomize manifests/Helm charts for new applications
Experience in creating and maintaining CI/CD pipelines for both applications and infrastructure deployments (using tools like Terraform/Terragrunt, ArgoCD, GitHub Actions, Ansible, etc.)
Deep knowledge of at least one major cloud provider (Google Cloud Platform, Microsoft Azure, Oracle Cloud)
Proficient in at least one backend programming/scripting languages such as Golang, Python, and Bash
Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week)

Job Responsibility

Work closely with engineers to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for our TTS and LLM Router
Drive engineering velocity by identifying and building AI-powered tooling and workflows that improve how our teams develop and deploy software
Facilitate a "you build it, you run it" culture by providing the necessary tools and processes for monitoring the reliability, availability, and performance of services
Manage pipelines to ensure smooth and efficient code integration and deployment
Conduct root cause analysis to identify critical issues and develop automated solutions to prevent recurrence

What we offer

equity and benefits

Fulltime

Senior Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

184600.00 - 260700.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

6+ years building production-grade backend systems or developer-facing tools
Hands-on experience with AI/ML technologies such as practical production experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, or AI agent development
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing and building distributed systems, microservices, or platform infrastructure
Strong understanding of cloud-native systems (AWS, GCP, or Azure), APIs, and data stores
Solid grasp of CI/CD, automated testing, code review practices, and modern development workflows
Product-minded approach to building developer tools with focus on user experience and measurable outcomes
Excellent communication skills in remote, asynchronous environments with ability to document technical decisions clearly
Ownership mentality with bias for action and iterative delivery
Comfortable working autonomously across distributed teams and navigating ambiguity

Job Responsibility

Build AI-Powered Developer Tools: Design, implement, and ship production-ready AI agents and tools that accelerate developer productivity such as code review and refactoring assistants, automated test generators, local environment setup tools, deployment pipeline diagnostic agents, and on-call assistance tools
Implement LLM Integrations: Build robust, production-grade integrations with LLM APIs (OpenAI, Anthropic, etc.) such as prompt engineering, response parsing, error handling, rate limiting, cost management, and performance optimization
Develop Agent Orchestration Systems: Create agent frameworks and orchestration systems that enable complex multi-step workflows, tool calling, context management, and agent-to-agent communication
Contribute to Platform Infrastructure: Build self-service platform capabilities that enable teams across Docker to rapidly deploy and operate their own AI developer tools such as deployment pipelines, observability integration, security controls, and operational tooling
Drive Adoption of AI-Native Development: Build tools and programs that accelerate adoption of AI developer tools such as Claude Code, Cursor, and Warp across Docker's engineering organization
Ensure Production Quality: Write well-tested code with strong test coverage (unit, integration, end-to-end)
establish monitoring, alerting, and operational excellence for AI systems
Collaborate Cross-Functionally: Partner with Principal Engineer on architecture, work with product and design teams on features and UX, and collaborate with platform teams (Infrastructure, Security, Data) on integrations
Participate in Operations: Take part in on-call rotation for AI developer tools
respond to incidents, debug production issues, and drive continuous improvement of system reliability

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

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Principal Power Platform AI Developer

Job Description

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