Hr Principal engineer applications Jobs – 66 Open Jobs Today

AI Infrastructure Architect
Accenture —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Master's degree
7d
Developer II - SharePoint Solution Engineer
Hollister Global Business Services India Private L —Gurugram, Haryana
- Full-time
- Computer Science
- Bachelor's degree
- JavaScript
Principal UX Architect/ Principal UX Designer
KlearNow.ai —Gurugram, Haryana
- Full-time
- Hybrid work
- Machine learning
- Agile
- AI
Quick apply
Principal Data Engineer (Python, Snowflake, AWS & DBT) - AI, Data & Platforms
Kohlberg Kravis Roberts & Co. —Gurugram, Haryana
- Email
- Azure
- Computer Science
- Java
Site Reliability Engineer
Institutional Shareholder Services —Gurugram, Haryana
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
S&C GN - TS&T – Industry Techno & Strategy Architect - Banking - Principal Director
Accenture —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Master's degree
Staff Engineer
ApplyBoard —Gurugram, Haryana
- Full-time
- Computer Science
- DevOps
- Java
Spare Parts Specialist
Komax Automation Pvt Ltd —Gurugram, Haryana
- ₹25,000 - ₹35,000 a month
- Full-time
- ERP systems
- Microsoft Office
- Bachelor's degree
Quick apply
Senior Software Engineer - 1630
GHX —Gurugram, Haryana
- Computer Science
- B.Sc
- System design
Global Head, Architecture
S&P Global —Gurugram, Haryana
- Email
- Azure
- AWS
- Financial services
- Health insurance
- Paid time off
Scada Ignition Engineer
Stryker —Gurugram, Haryana
- Full-time
- Computer Science
- Project management
- Bachelor's degree
- Health insurance
Presales Solutions Architect - Modern Data Center
AHEAD —Gurugram, Haryana
- Full-time
- Hybrid work
- Computer Science
- Analysis skills
- Bachelor's degree
- Health insurance
- Paid time off
Qualdev Architect
Aeris Communications Inc. —Gurugram, Haryana
- Full-time
- Hybrid work
- DevOps
- Java
- AWS
Quick apply
9d
FDE AI/ Solutions Architect (AI, Python/Data)
Provectus —Haryana
- Full-time
- Remote
- Medicine
- Azure
- English
- Health insurance
- Paid sick time
Quick apply
6d
Lead Software Engineer
Midland Credit Management India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Oracle
- DevOps
- Master's degree
4d
Principal Consultant– Business Analyst
Genpact India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Computer Science
- English
- Master's degree
Quick apply
Manager - Cloud Technologies S 4D
Genpact India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Hybrid work
- Microsoft Access
- Azure
- Computer Science
Quick apply
2d
Senior Principal Engineer-I
Deutsche Telekom Digital Labs —Gurugram, Haryana
- Computer Science
- System design
- Java
5h
Principal Technical Architect - Digital Workplace
Microland —Gurugram, Haryana
- Windows
- Microsoft Office
- Master's degree
3h

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AI Infrastructure Architect

Accenture -
Gurugram, Haryana

Apply Now

Job details

Full-time
7 days ago

Qualifications

Ontology
Azure
Cloud architecture
Law
Computer Science
Kubernetes
Full-stack development
Software deployment
Master's degree
Assembly
OS Kernels
Docker
Bachelor's degree
Machine learning
Deep learning
Azure Certification
Risk management
Computer Engineering
Natural language processing
APIs
Data science
Solution architecture
AI
Leadership
Communication skills
Banking
Graph databases
Design patterns

Full job description

Project Role : AI Infrastructure Architect
Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.
Must have skills : Large Language Models (LLMs)
Good to have skills : Microsoft Azure Data Services
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education

Role Summary / Description

AI Powered Tech Talent

Senior Architect / Lead-Principal AI Architect for AI LLM Technology Architecture, serving as the accountable architecture authority for enterprise AI solutions on Azure.
Own the complete, end-to-end architecture of advanced AI platforms and solutions spanning classical machine learning, generative AI, LLM applications, agentic systems, context engineering, model platforms, inference, AI operations and enterprise integration.
Operate at executive level with CIOs, CTOs, senior business leaders and practice leadership to shape AI strategy, define transformation roadmaps and ensure investments are purposeful, sequenced and aligned to business outcomes.
Bring strong industry experience in banking, insurance, healthcare, public sector, retail or energy to ensure the AI architecture addresses domain workflows, regulatory expectations, risk controls, data realities, adoption considerations and measurable value delivery.
Lead multiple domain architects and senior SMEs across agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, model platforms and inference to create a cohesive enterprise-ready architecture.

Key Responsibilities

Partner with client executives and business leaders to define the enterprise AI strategy, target-state architecture and investment roadmap across platforms, data, models, applications and operating model.
Lead enterprise AI assessments, technology comparisons, platform selection, reference architecture definition, modernization opportunities and implementation sequencing for complex transformations.
For Azure, set the Azure enterprise AI/LLM platform strategy define Foundry and Azure OpenAI architecture for agentic workflows, RAG, tool integration, context assembly and enterprise knowledge grounding establish integration patterns using API Management, Logic Apps and Functions define identity, private networking, responsible AI, evaluation and operational governance across solution domains.
Own the complete end-to-end technical solution for complex AI platforms, ensuring every domain is designed cohesively against business objectives, enterprise standards and non-functional requirements.
Translate governing architecture principles into a concrete, defensible technical solution that platform, data, AI/ML and application engineering teams can build against.

- Set architectural direction for model- and tool-agnostic multi-agent systems, including orchestration, memory, tool/skill use, agent registry, AI gateway/control plane, risk scoring and certification gates.

Define the enterprise context layer architecture across knowledge graphs, ontologies, vector search, semantic retrieval, prompt/context assembly, conversational state and reusable memory services.
Establish identity, authorization, layered guardrails, prompt-injection defense, PII protection, audit logging, lineage and defense-in-depth controls for AI agents, tools, data and models.
Mandate productized evaluation and observability practices covering accuracy, relevance, groundedness, model quality, latency, cost, safety, reliability, production support and continuous improvement.
Establish FinOps as a first-class AI concern, including usage labelling, token budgets, gateway-enforced budgets, cost-per-archetype planning, threshold alerts and optimization levers.
Produce and steward authoritative architecture assets including enterprise AI blueprints, ADRs, sequence diagrams, solution patterns, interface specifications, reference architectures and governance playbooks.

Required Qualifications

Bachelor's degree or equivalent in Computer Science, Computer Engineering, Data Science, AI/ML, Information Technology or a related engineering discipline.
Minimum 15+ years of overall experience across software engineering, data engineering, AI/ML engineering, cloud architecture, enterprise architecture or technology leadership.
Minimum 8+ years of experience designing and deploying enterprise-grade advanced AI, data, analytics or cloud-native solutions using at least one cloud vendor.
Minimum 2+ years of experience in LLM and generative AI solution architecture, including agentic systems, RAG, prompt engineering, model integration and evaluation patterns.
Minimum 2+ years of experience architecting and operationalizing LLM-driven application architecture patterns in enterprise-scale or production environments.
Minimum 6+ years of experience in engineering, machine learning, deep learning, NLP solutions, data engineering or large-scale analytical engineering applications.
Minimum 6+ years of experience as a machine learning / data / AI architect designing large-scale analytical engineering solutions in industry contexts such as banking, insurance, healthcare, public sector, retail or energy.

Required Skills/ Experience

Deep architecture and hands-on engineering experience with Microsoft Foundry / Azure AI Foundry, Foundry Agent Service, Azure OpenAI models, Azure AI Search, Prompt Flow, Azure Functions, Logic Apps, API Management, Event Grid, Microsoft Fabric, Entra ID, Key Vault, Azure Monitor and Application Insights.
Strong expertise in enterprise AI platform architecture covering RAG, embeddings, vector databases, semantic retrieval, context engineering, model routing, agent orchestration, memory, tool calling, AI gateways and model evaluation.
Ability to set enterprise NFRs and architectural controls for performance, scalability, security, privacy, reliability, governance, observability, resiliency, cost optimization and operational readiness.
Experience making definitive, evidence-based decisions on design patterns, reference architectures, frameworks, technology selections, foundation models and deployment approaches.
Experience establishing agent registry and certification models, AI control planes, access models, guardrails, production evaluation stacks, model risk controls and cross-platform governance.
Strong executive communication, architecture governance and thought leadership skills with ability to influence business, technology, security, product and delivery leadership teams.

Good to Have Skills

Azure Solutions Architect Expert, Azure AI Engineer Associate or Azure Developer certification experience with Microsoft Fabric, Semantic Kernel, Prompt Flow, private endpoints, Defender for Cloud, Microsoft 365 Copilot extensibility, Responsible AI governance and enterprise integration patterns.
Exposure to open-source AI and orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Haystack, Semantic Kernel, MLflow, FastAPI, Docker and Kubernetes.
Experience with responsible AI, model risk management, AI governance boards, red-teaming, synthetic data, human-in-the-loop review, A/B testing and GenAI FinOps.
Recognized thought leadership through enterprise reference architectures, internal capability building, client advisory, platform accelerators, publications, whitepapers, conference sessions or industry forums.

15 years full time education

Apply Now

Refine Your Search

principal engineer applications jobs in hr

AI Infrastructure Architect

Developer II - SharePoint Solution Engineer

Principal UX Architect/ Principal UX Designer

Principal Data Engineer (Python, Snowflake, AWS & DBT) - AI, Data & Platforms

Site Reliability Engineer

S&C GN - TS&T – Industry Techno & Strategy Architect - Banking - Principal Director

Staff Engineer

Spare Parts Specialist

Senior Software Engineer - 1630

Global Head, Architecture

Scada Ignition Engineer

Presales Solutions Architect - Modern Data Center

Qualdev Architect

FDE AI/ Solutions Architect (AI, Python/Data)

Lead Software Engineer

Principal Consultant– Business Analyst

Manager - Cloud Technologies S 4D

Senior Principal Engineer-I

Principal Technical Architect - Digital Workplace

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