Senior AI Solutions Architect & Enterprise Technology Lead

Cognizant; Juneau (AK); Remote; USD 140,000 - 160,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays & PTO

401(k) plan

Disability insurance

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking an Associate Director - AI Solutions Architect to lead enterprise architecture, cloud modernization, and Generative AI transformation initiatives. This remote USA role focuses on defining roadmaps, delivering AI-enabled business solutions, and guiding clients through modern engineering practices.

You will partner with executives, architects, and engineering teams to drive strategy, governance, and scalable deployments while mentoring others in AI best practices across

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
• 12+ years of experience in solution architecture, enterprise architecture, software engineering, or technology consulting.
• Hands-on experience designing and implementing Agentic AI solutions using LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.
• Proven experience building Retrieval-Augmented Generation (RAG) solutions utilizing vector databases such as Pinecone, Weaviate, Chroma, FAISS, or equivalent platforms.
• Strong understanding of Large Language Models (LLMs), including OpenAI, Anthropic Claude, Google Gemini, and related ecosystem technologies.
• Experience integrating AI-assisted tools such as Microsoft Copilot, GitHub Copilot, Claude, and related technologies into enterprise transformation programs.
• Deep knowledge of Generative AI architecture, governance, security, infrastructure planning, scalability, and operational best practices.
• Experience estimating, planning, and delivering AI-driven initiatives, including enterprise-scale deployment and adoption strategies.
• Demonstrated success taking at least one AI-enabled business solution from concept through production deployment.
• Strong experience with AWS and/or GCP cloud platforms, Java, Spring Boot, microservices, and distributed systems architecture.
• Proven ability to engage with executive stakeholders and influence technology strategy.

Responsibilities

• Lead end-to-end solution architecture engagements from discovery, strategy, and design through implementation and business adoption.
• Drive application modernization initiatives, transforming legacy platforms into scalable cloud-native architectures.
• Architect and implement enterprise solutions leveraging AWS, Google Cloud Platform (GCP), Java, Spring Boot, microservices, APIs, and event-driven architectures.
• Design and guide the development of Generative AI and Agentic AI solutions using modern AI frameworks, large language models, and vector database technologies.
• Define architecture roadmaps, proof of concepts (POCs), prototypes, and strategic points of view (POVs) that align business goals with technology investments.
• Collaborate directly with client stakeholders to identify opportunities, solve complex business problems, and deliver measurable outcomes.
• Establish architecture standards, governance models, security best practices, and engineering excellence across programs.
• Mentor architects, technology leaders, and engineering teams while fostering innovation and continuous improvement.

Skills

Stakeholder engagement

Solution architecture

Cloud modernization

Generative AI

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or related field

Tools

AWS

GCP

Java

Spring Boot

LangChain

LangGraph

AutoGen

Pinecone

Weaviate

Chroma

FAISS

Job description

Cognizant is seeking an Associate Director - AI Solutions Architect to lead enterprise architecture, cloud modernization, and Generative AI transformation initiatives. This remote USA role focuses on defining roadmaps, delivering AI-enabled business solutions, and guiding clients through modern engineering practices.

You will partner with executives, architects, and engineering teams to drive strategy, governance, and scalable deployments while mentoring others in AI best practices across