Remote Associate Director — AI Solutions Architect

Cognizant; Honolulu (HI); Remote; USD 140,000 - 160,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus PTO

401(k) plan and contributions

Long-term/Short-term Disability

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, guiding solution design, and delivering scalable AI-enabled business outcomes.

You will mentor teams, collaborate with executives, and drive architecture standards while leveraging AWS/GCP, Java, Spring Boot, and microservices to modernize legacy systems.

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

Enterprise architecture

Solution architecture

Executive stakeholder engagement

Generative AI

Cloud modernization

AI strategy

Problem solving

Vendor/mentoring

Education

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

Tools

AWS

GCP

Java

Spring Boot

Microservices

APIs

Event-driven architectures

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, guiding solution design, and delivering scalable AI-enabled business outcomes.

You will mentor teams, collaborate with executives, and drive architecture standards while leveraging AWS/GCP, Java, Spring Boot, and microservices to modernize legacy systems.