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Sr AI Engineering Lead
Persistent Systems LLC (New York)
3 hours ago
Full-time
On-site
About Position:
We are seeking an experienced Sr AI Engineering Lead to drive the strategy, architecture, and delivery of enterprise-scale AI, Data, and Analytics solutions. The ideal candidate will possess deep expertise in Generative AI, cloud-native application development, and enterprise architecture, along with strong leadership capabilities. This role will be responsible for designing innovative AI-powered solutions using Azure OpenAI and modern AI frameworks while leading engineering teams to deliver scalable, secure, and business-focused digital transformation initiatives.
Role: Sr AI Engineering Lead
Location: Bellevue, WA
Experience: Between 12 to 15 Years
Job Type: Full Time Employment
What You'll Do:
Lead the architecture, design, and implementation of enterprise AI solutions utilizing Azure OpenAI, Retrieval-Augmented Generation (RAG), Semantic Kernel, Embeddings, Prompt Engineering, and Agentic AI frameworks.
Drive end-to-end delivery of enterprise AI transformation programs, including AI Copilots, AI Agents, and intelligent automation solutions.
Design and develop cloud-native applications using .NET/C#, RESTful APIs, microservices, and Azure-first architecture patterns.
Collaborate with business leaders, product owners, architects, and engineering teams to define technology roadmaps and implementation strategies.
Translate complex business requirements into scalable, secure, and sustainable enterprise solutions.
Architect and implement enterprise-grade Generative AI solutions that improve business processes and user experiences.
Lead AI strategy discussions and recommend innovative technologies to support organizational objectives.
Oversee Azure DevOps pipelines, CI/CD processes, deployment automation, release management, and application lifecycle management.
Drive best practices for software engineering, AI engineering, architecture governance, and cloud adoption.
Conduct architecture reviews, technical design sessions, solution assessments, and code reviews.
Ensure solution reliability, scalability, performance optimization, security, and compliance across platforms.
Establish AI governance frameworks, Responsible AI practices, and enterprise security standards.
Mentor technical teams and foster a culture of innovation, collaboration, and engineering excellence.
Support production operations, incident management, root cause analysis, and continuous improvement initiatives.
Partner with executive leadership and stakeholders to drive measurable business outcomes through AI programs.
Expertise You'll Bring:
12 to 15 years of experience in software engineering, cloud architecture, AI engineering, and enterprise solution delivery.
Strong hands-on experience with Azure OpenAI, Generative AI, Large Language Models (LLMs), RAG architectures, Semantic Kernel, Prompt Engineering, Embeddings, and Agentic AI frameworks.
Proven expertise in designing and delivering enterprise-scale AI transformation initiatives and AI-powered business solutions.
Extensive experience developing cloud-native applications using .NET/C#, REST APIs, and microservices architectures.
Strong understanding of Microsoft Azure services and modern cloud architecture patterns.
Experience delivering enterprise Copilot implementations and AI Agent-based solutions.
Strong expertise in Azure DevOps, CI/CD pipelines, deployment automation, release management, and production support.
Experience creating scalable architecture roadmaps and technology transformation strategies.
Strong understanding of enterprise integration, API design, security controls, and cloud-native development practices.
Excellent stakeholder management skills with the ability to communicate effectively with business executives and technical teams.
Experience leading architecture governance, engineering standards, solution reviews, and technical mentorship programs.
Strong knowledge of performance optimization, reliability engineering, scalability, data governance, and operational excellence.
Understanding of Responsible AI principles, AI governance frameworks, data privacy regulations, compliance requirements, and enterprise security standards.
Experience with Azure Bicep, Infrastructure as Code (IaC), PowerShell, and cloud automation technologies.
Proven leadership experience managing high-performing engineering teams and cross-functional initiatives.
Strong analytical, problem-solving, and strategic planning skills.
Microsoft Azure certifications in AI, Solution Architecture, or related cloud technologies are highly preferred.
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline.
Benefits:
Competitive salary and benefits package
Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
Opportunity to work with cutting-edge technologies
Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
Annual health check-ups
Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
We support hybrid work and flexible hours to fit diverse lifestyles.
Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment.
Let's unleash your full potential at Persistent - persistent.com/careers
"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."
We are seeking an experienced Sr AI Engineering Lead to drive the strategy, architecture, and delivery of enterprise-scale AI, Data, and Analytics solutions. The ideal candidate will possess deep expertise in Generative AI, cloud-native application development, and enterprise architecture, along with strong leadership capabilities. This role will be responsible for designing innovative AI-powered solutions using Azure OpenAI and modern AI frameworks while leading engineering teams to deliver scalable, secure, and business-focused digital transformation initiatives.
Role: Sr AI Engineering Lead
Location: Bellevue, WA
Experience: Between 12 to 15 Years
Job Type: Full Time Employment
What You'll Do:
Lead the architecture, design, and implementation of enterprise AI solutions utilizing Azure OpenAI, Retrieval-Augmented Generation (RAG), Semantic Kernel, Embeddings, Prompt Engineering, and Agentic AI frameworks.
Drive end-to-end delivery of enterprise AI transformation programs, including AI Copilots, AI Agents, and intelligent automation solutions.
Design and develop cloud-native applications using .NET/C#, RESTful APIs, microservices, and Azure-first architecture patterns.
Collaborate with business leaders, product owners, architects, and engineering teams to define technology roadmaps and implementation strategies.
Translate complex business requirements into scalable, secure, and sustainable enterprise solutions.
Architect and implement enterprise-grade Generative AI solutions that improve business processes and user experiences.
Lead AI strategy discussions and recommend innovative technologies to support organizational objectives.
Oversee Azure DevOps pipelines, CI/CD processes, deployment automation, release management, and application lifecycle management.
Drive best practices for software engineering, AI engineering, architecture governance, and cloud adoption.
Conduct architecture reviews, technical design sessions, solution assessments, and code reviews.
Ensure solution reliability, scalability, performance optimization, security, and compliance across platforms.
Establish AI governance frameworks, Responsible AI practices, and enterprise security standards.
Mentor technical teams and foster a culture of innovation, collaboration, and engineering excellence.
Support production operations, incident management, root cause analysis, and continuous improvement initiatives.
Partner with executive leadership and stakeholders to drive measurable business outcomes through AI programs.
Expertise You'll Bring:
12 to 15 years of experience in software engineering, cloud architecture, AI engineering, and enterprise solution delivery.
Strong hands-on experience with Azure OpenAI, Generative AI, Large Language Models (LLMs), RAG architectures, Semantic Kernel, Prompt Engineering, Embeddings, and Agentic AI frameworks.
Proven expertise in designing and delivering enterprise-scale AI transformation initiatives and AI-powered business solutions.
Extensive experience developing cloud-native applications using .NET/C#, REST APIs, and microservices architectures.
Strong understanding of Microsoft Azure services and modern cloud architecture patterns.
Experience delivering enterprise Copilot implementations and AI Agent-based solutions.
Strong expertise in Azure DevOps, CI/CD pipelines, deployment automation, release management, and production support.
Experience creating scalable architecture roadmaps and technology transformation strategies.
Strong understanding of enterprise integration, API design, security controls, and cloud-native development practices.
Excellent stakeholder management skills with the ability to communicate effectively with business executives and technical teams.
Experience leading architecture governance, engineering standards, solution reviews, and technical mentorship programs.
Strong knowledge of performance optimization, reliability engineering, scalability, data governance, and operational excellence.
Understanding of Responsible AI principles, AI governance frameworks, data privacy regulations, compliance requirements, and enterprise security standards.
Experience with Azure Bicep, Infrastructure as Code (IaC), PowerShell, and cloud automation technologies.
Proven leadership experience managing high-performing engineering teams and cross-functional initiatives.
Strong analytical, problem-solving, and strategic planning skills.
Microsoft Azure certifications in AI, Solution Architecture, or related cloud technologies are highly preferred.
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline.
Benefits:
Competitive salary and benefits package
Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
Opportunity to work with cutting-edge technologies
Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
Annual health check-ups
Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
We support hybrid work and flexible hours to fit diverse lifestyles.
Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment.
Let's unleash your full potential at Persistent - persistent.com/careers
"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."