Uttar Pradesh Senior validation engineer Jobs – 124 Open Jobs Today

Solution Architect
Luxoft —Noida, Uttar Pradesh
- English
- Master's degree
- AWS
1d
Senior Developer 2 for Non-Authoring Backend Logic
Alight —Noida, Uttar Pradesh
- Databases
- SQL
- AWS
- Health insurance
- Work from home

Related jobs to explore

Based on your search for senior validation engineer

QS Engineer – Civil (Mivan Shuttering)
TAVAS VENTURES PVT LTD —Lucknow, Uttar Pradesh
LWe are looking for an experienced *Billing Engineer / QS Engineer – Civil* with *mandatory experience in Mivan/Aluminium Formwork and High-Rise Residential…
₹30,000 - ₹70,000 a month
Quick apply
Lead Site Reliability Engineer(Splunk+SPL)
Optum —Noida, Uttar Pradesh
We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health…

I want to receive the latest job alerts for senior validation engineer in uttar pradesh

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

senior validation engineer jobs near uttar pradesh

Solution Architect jobs in Noida, Uttar Pradesh

Solution Architect jobs in Raipur, Chhattisgarh

Fresher Architect jobs in Mumbai, Maharashtra

Solution Architect jobs in Remote

Internship Interior Designer, Fresher, Architect jobs in Nagpur, Maharashtra

Byline Learning Solution jobs in Pune, Maharashtra

Solution Architect jobs in Mohali, Punjab

Government Architect jobs in Ahmedabad, Gujarat

Solution Architect jobs in Coimbatore, Tamil Nadu

Back End Developer jobs in Hyderabad, Telangana

C, C++ Developer jobs in Chennai, Tamil Nadu

Front End Developer jobs in Navi Mumbai, Maharashtra

Back End Developer jobs in Kerala

Front End Developer jobs in Hyderabad, Telangana

Back End Developer jobs in Raipur, Chhattisgarh

Indusind Bank, Hiring For Back Office jobs in Mumbai, Maharashtra

Back End Developer jobs in Madhya Pradesh

Solution Architect

Luxoft -
Noida, Uttar Pradesh

Apply Now

Job details

1 day ago

Qualifications

Ontology
SAFe
Cloud architecture
Law
Kubernetes
English
Master's degree
Microservices
AWS
Machine learning
TOGAF
Distributed systems
Terraform
APIs
S3
Redshift
DynamoDB
AI
RDS database
Communication skills
Graph databases
Senior leadership
AWS Certified Solutions Architect – Professional
Identity & access management
AWS CloudFormation

Full job description

Project description

We are seeking a highly experienced Solution Architect to design, guide, and govern scalable software solutions across the organization—ranging from individual components to fully integrated enterprise platforms.
This role requires strong expertise in AWS cloud technologies, AI infrastructure, and advanced AI governance practices, ensuring solutions align with business strategy, security standards, and responsible AI policies.

Responsibilities

Architecture & Solution Design

Design end-to-end architectures spanning:

Component-level services (microservices, APIs)

Domain platforms

Enterprise-wide ecosystems

Define architecture patterns, standards, and reusable frameworks

Translate business requirements into scalable and secure technical solutions

Ensure interoperability across systems, data layers, AI services, and platforms

Enterprise Architecture Strategy

Develop and maintain enterprise architecture roadmaps

Align IT strategy with business goals and digital transformation initiatives

Establish governance models (TOGAF/SAFe or similar)

Lead architecture review boards and technical decision-making processes

Cloud Architecture (AWS)

Architect and optimize cloud-native and hybrid solutions using AWS services

Define cloud migration strategies and modernization approaches

Ensure high availability, resiliency, cost optimization, and performance

Implement Infrastructure-as-Code and automation best practices

AI, Data & Intelligent Systems Architecture

Design AI/ML infrastructure, pipelines, and enterprise integration patterns

Architect solutions incorporating LLMs, generative AI, and intelligent agents

Guide adoption of AI technologies within enterprise platforms and products

Establish patterns for:

RAG (Retrieval-Augmented Generation)

Feature stores and data pipelines

Model deployment, versioning, and scaling

AI Governance, Observability & Control

Define and implement enterprise AI governance frameworks covering:

Responsible AI usage (fairness, bias mitigation, explainability)

Data privacy, lineage, and compliance

AI risk classification and policy enforcement

Establish AI observability and monitoring capabilities, including:

End-to-end tracing of AI/ML and LLM flows using tools such as OpenTelemetry

Monitoring of prompts, responses, latency, and model behavior using platforms like Langfuse or equivalent

Metrics for model performance, drift, hallucination rates, and usage patterns

Design and enforce agent governance and control mechanisms, including:

Monitoring and auditing of autonomous and semi-autonomous AI agents

Guardrails for agent behavior, tool usage, and decision boundaries

Human-in-the-loop (HITL) workflows and escalation patterns

Policy-based control over agent actions and integrations

Implement AI lifecycle governance, including:

Model validation, approval workflows, and audit trails

Continuous evaluation and feedback loops

Secure model and prompt management

Cross-Disciplinary Architecture Leadership

Act as a strategic liaison across Semantic, Data, and ML architecture domains

Facilitate alignment between knowledge graphs, ontologies, data platforms, and ML systems

Provide architectural guidance to specialized architects, ensuring cohesive enterprise integration

Bridge gaps between business semantics, data engineering, and machine learning pipelines

Security, Compliance & Governance

Ensure architectures meet enterprise security standards (e.g., Zero Trust)

Define policies for data governance, access control, and auditability

Align AI and cloud solutions with regulatory and compliance frameworks

Collaboration & Leadership

Work with engineering, product, data, and AI teams to align solutions

Mentor architects and senior engineers

Act as a trusted advisor to leadership and stakeholders

Skills

Must have

Core Architecture

8-12+ years in software engineering and architecture roles

Proven experience designing large-scale distributed systems

Strong knowledge of:

Microservices and event-driven architectures

API management and integrations

Enterprise integration patterns (EIPs)

AWS Technologies

Compute & Containers

Amazon EC2, AWS Lambda

Amazon ECS / EKS (Kubernetes)

Networking & Integration

Amazon VPC, Route 53, API Gateway

AWS App Mesh, EventBridge, SNS, SQS

Data & Storage

Amazon S3, EBS, Glacier

Amazon RDS, Aurora, DynamoDB, Redshift

DevOps & Automation

AWS CloudFormation / CDK / Terraform

AWS CodePipeline, CodeBuild, CodeDeploy

Observability

Amazon CloudWatch, AWS X-Ray

Security

AWS IAM, Cognito, KMS, Secrets Manager

AWS Organizations and Control Tower

AI/ML, LLM & Observability Expertise

Experience with AWS AI/ML stack:

Amazon SageMaker

Amazon Bedrock (LLMs & foundation models)

AWS Glue, Lake Formation

Hands-on experience with:

LLM-based architectures and agent-based systems

AI observability tools (e.g., OpenTelemetry, Langfuse, Prometheus/Grafana)

Prompt lifecycle management and evaluation pipelines

Strong understanding of:

AI governance frameworks and enterprise AI controls

Agent orchestration, monitoring, and guardrails

Data lineage, quality, and compliance

Architecture Frameworks & Practices

TOGAF or equivalent enterprise architecture frameworks

Domain-driven design (DDD)

Cloud-native and serverless patterns

Soft Skills

Strong communication and stakeholder management

Strategic thinking with hands-on technical depth

Ability to influence senior leadership and cross-functional teams

Mentorship and leadership capabilities

Nice to have

AWS Certified Solutions Architect

Professional

AWS Specialty Certifications (Machine Learning, Security)

Experience implementing enterprise AI governance frameworks

Background in regulated industries

Exposure to multi-cloud or hybrid environments

Experience integrating data, semantic, and ML architectures

Other

Languages

English: C1 Advanced

Seniority

Lead

Noida, India

Req. VR-123491

Enterprise Architecture

BCM Industry

09/07/2026

Req. VR-123491

Apply Now

Refine Your Search

senior validation engineer jobs in uttar pradesh

Solution Architect

Senior Developer 2 for Non-Authoring Backend Logic

Related jobs to explore

I want to receive the latest job alerts for senior validation engineer in uttar pradesh

Explore jobs in more locations

Project description

Responsibilities

Skills

Other

Jobseeker tools

Employer Tools

Browse

Stay Connected