Uttar Pradesh Embedded engineer Jobs – 106 Open Jobs Today

Sr. AVP - Agentic AI
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Engineering
Senior Principal Hardware Project Manager – SoC/MCU
Renesas Electronics —Noida, Uttar Pradesh
- Full-time
- PMP
- English
- Master's degree
Quick apply
Regional AI & Data Hub Manager
Bureau Veritas —Noida, Uttar Pradesh
- Full-time
- English
- Travel
- AI
AI Architect
CLOUDSUFI —Noida, Uttar Pradesh
- Full-time
- English
- APIs
- AI
Quick apply
Regional AI & Data Hub Technical Lead
Bureau Veritas —Noida, Uttar Pradesh
- Full-time
- English
- Master's degree
- Travel
Principal Devops Lead
Ameriprise India —Noida, Uttar Pradesh
- Full-time
- Azure
- Software troubleshooting
- DevOps
- Work from home
Data Scientist 4A
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
Quick apply
3d
Senior Firmware Engineer
WAM ELECTRONICS PVT LTD —Noida, Uttar Pradesh
- ₹4,50,000 - ₹6,00,000 a year
- Full-time
- Schematics
- Analysis skills
- Project management
- Health insurance
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21h

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Academic & School Coordinator (English Specialist)
The Kalpvriksh School —Nurpur, Uttar Pradesh
Oversee syllabus completion, lesson plan audits, and examination schedules. The Kalpvriksh School is seeking an energetic and experienced *Academic & School…
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2d

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Sr. AVP - Agentic AI

EXL Service -
Noida, Uttar Pradesh

Apply Now

Job details

Full-time

Qualifications

CI/CD
Cloud infrastructure
Azure
Cloud architecture
Computer Science
Kubernetes
Engineering
Information Systems
M.Eng
Master's degree
AWS
Bachelor's degree
TOGAF
Terraform
Continuous integration
AI

Full job description

Job Description: Role Overview

The Sr. AVP (D2) – Senior Principal Architect, Technology Cloud & Infrastructure is a foundational technology leadership role responsible for shaping EXL’s cloud, infrastructure, and agentic‑AI‑ready architecture at enterprise scale.

This role operates at the intersection of architecture, security, automation, and business outcomes, providing deep technical stewardship while influencing senior stakeholders across business, delivery, risk, and governance. The incumbent will act as a technology authority, solution catalyst, and strategic advisor, ensuring platforms are secure‑by‑design, scalable‑by‑default, and outcome‑aligned.

Responsibilities: Key Responsibilities

Enterprise Architecture & Strategy

Define and evolve enterprise cloud and infrastructure architecture across multi‑cloud, hybrid, and AI‑native environments, aligned to business strategy and growth priorities.
Architect and enable enterprise solutions delivering 90%+ efficiency across design, build, and deployment cycles
Architect agentic‑AI‑ready platforms, enabling experimentation, prototyping, and secure enterprise adoption of emerging AI and automation capabilities.
Well versed with tools like Claude, Replit, Cursor, LangSmith, Open Claw, Mostly, Copilot, Gemini, Pytorch, NemoClaw, Antigravity etc.
Well versed with Frameworks like NVIDA Nemo, CrewAI, LangGraph etc.

Cloud, DevSecOps & Automation

Knowledge of multi-cloud environment like GCP, Microsoft, AWS, OCI.
Drive CI/CD and infrastructure‑as‑code adoption across platforms, embedding security, compliance, and resilience into delivery pipelines.
Design and govern DevSecOps frameworks enabling rapid, repeatable, and policy‑compliant deployment of enterprise solutions.
Champion automation across provisioning, configuration, observability, and operational workflows.

Security‑Aligned Architecture

Embed security thinking deeply into architecture design, with strong alignment to SIEM, CNAPP, Run time Security and cloud security, identity (including Identity for AI), and zero‑trust principles.
Partner with Risk, Compliance, and Security teams to ensure architectures meet regulatory, audit, and enterprise assurance requirements.
Act as a senior design authority for secure AI, cloud, and infrastructure solutions.

Solution Leadership & Problem Solving

Lead complex, cross‑domain solutioning for strategic initiatives, client‑facing platforms, and internal transformation programs.
Translate ambiguous business needs into clear, scalable, and secure technology solutions.
Provide architectural oversight for critical programs, ensuring design integrity and outcome realization.

Stakeholder & Executive Engagement

Engage credibly with senior management, business leaders, and technology partners, articulating complex concepts with clarity and confidence.
Influence decision‑making through executive‑grade communication, architectural rationale, and risk‑reward framing.
Mentor architects and senior engineers, raising the overall architecture maturity of the organization.

Qualifications: Core Skills & Expertise

Agentic AI & Emerging Technologies: Strong conceptual and architectural understanding of agentic AI platforms, AI infrastructure, and secure AI adoption models.
Multi‑Cloud Architecture: Deep expertise across major cloud platforms with strong grounding in hybrid and enterprise integration patterns.
DevSecOps & CI/CD: Proven ability to design and govern CI/CD pipelines with embedded security, compliance, and quality controls.
Security‑First Mindset: Practical alignment with SIEM, CNAPP, cloud security, AI identity, and policy‑driven controls.
Solution Architecture: Exceptional ability to design end‑to‑end solutions spanning infrastructure, platforms, security, and applications.
Executive Communication: Ability to communicate succinctly, persuasively, and confidently with senior leadership and business stakeholders.

Leadership Attributes

Strategic yet hands‑on – equally comfortable setting direction and diving deep when required
Security‑conscious, not security‑constrained
Decisive, principled, and outcome‑driven
Respected technology voice across engineering, risk, and business communities

Success Measures

Architecture decisions that enable speed without sacrificing security or compliance
Scalable cloud and AI platforms adopted across business units
Reduction in delivery friction through automation and standardization

Education

Bachelor’s or Master’s degree in Engineering, Computer Science, Information Systems, or a related technical discipline.
Advanced education (Master’s / Executive Programs) in Technology Management, Architecture, or Digital Transformation preferred.

Certifications (Preferred / Strongly Desired)

Cloud Architecture: AWS, Azure, or GCP Professional / Architect‑level certifications
DevSecOps & Automation: Kubernetes, Terraform, CI/CD, or DevOps‑focused certifications
Security & Risk: Certifications aligned to Cloud Security, CNAPP, SIEM, Zero Trust, or Secure AI domains
Enterprise Architecture: TOGAF or equivalent architecture frameworks (desirable)
AI / Emerging Tech: Certifications from leading AI providers like Microsoft, NVIDIA, Google, AWS, Claude, OpenAI

Apply Now

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embedded engineer jobs in uttar pradesh

Sr. AVP - Agentic AI

Senior Principal Hardware Project Manager – SoC/MCU

Regional AI & Data Hub Manager

AI Architect

Regional AI & Data Hub Technical Lead

Principal Devops Lead

Data Scientist 4A

Senior Firmware Engineer

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