AI Solution Architect
Company: Cognizant
Location: Berkeley
Posted on: October 29, 2025
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Job Description:
Imagine a world where businesses predict market shifts before
they happen, anticipate customer needs with precision, make the
smartest decisions in real-time, and augment their business
processes flow with AI agents. At Cognizant’s Advanced AI Lab ,
we’re making that a reality with Neuro AI —a next-generation AI
platform that models entire businesses processes for automation and
real-time decision-making. We’re seeking a Solution Architect with
deep expertise in Generative AI and Agentic AI to design and lead
the implementation of intelligent systems that automate and
optimize business processes. You'll work with technologies like
GPT, Gemini, Claude, and autonomous AI agents to help clients
streamline operations and gain competitive advantages. You’ll be a
strategic advisor guiding clients across industries in applying AI
to improve customer experience, supply chains, finance, HR, and
more. Responsibilities include solution design, client engagement,
training, and collaboration on product roadmaps. We’re looking for
someone innovative, articulate, client-focused, and comfortable
with travel, RFPs, and SOW writing. Be part of building the
intelligent business of the future. Key Responsibilities: Design &
Deploy AI Solutions: Lead the architecture and implementation of
Generative and Agentic AI systems across industries (e.g.,
manufacturing, healthcare, finance) to enable autonomous,
intelligent business processes. AI-Driven Optimization: Use
generative models (GPT, Gemini, Claude, etc.) and agent-based AI to
automate complex workflows, improving productivity,
decision-making, and operational efficiency. Client Collaboration &
Strategy: Partner with stakeholders to identify high-impact AI
opportunities, transforming traditional workflows into
self-managing, adaptive systems. Solution Delivery & Scalability:
Work with cross-functional teams to ensure scalable, reliable, and
high-performing AI deployments, from concept to continuous
optimization. Enablement & Thought Leadership: Drive client
workshops and training, respond to RFPs, write SOWs, and provide
mentorship while staying current with emerging AI trends and
technologies. Desired Candidate Profile: Education & Experience:
Master/PhD with 3 years or Bachelor with 5 years of experience
architecting ML/AI solutions in diverse domains. Technical
Expertise: Proficient in Generative AI, reinforcement learning,
multi-agent systems, and decision-making algorithms, with hands-on
experience using Python, and modern AI frameworks. Cloud & Tools
Proficiency: Skilled in deploying solutions on cloud platforms like
AWS, Azure, GCP, Databricks, and Snowflake. Business &
Communication Acumen: Strong understanding of business process
automation and the ability to translate complex AI concepts for
technical and non-technical stakeholders. Problem Solving &
Delivery: Proven track record of building scalable,
high-performance AI solutions in Agile environments, with attention
to detail and ability to work independently. Consulting Readiness:
Excellent collaboration and leadership skills, consulting or
enterprise experience across multiple industries, and willingness
to travel up to 50% for client engagements. LI-EF1 CB Ind123
Applications will be accepted until 30 Oct 2025. Salary and Other
Compensation: The annual salary for this position is between
$[158,500 - 186,000] depending on experience and other
qualifications of the successful candidate. This position is also
eligible for Cognizant’s discretionary annual incentive program and
stock options, based on performance and subject to the terms of
Cognizant’s applicable plans. Benefits: Cognizant offers the
following benefits for this position, subject to applicable
eligibility requirements: · Medical/Dental/Vision/Life Insurance ·
Paid holidays plus Paid Time Off · 401(k) plan and contributions ·
Long-term/Short-term Disability · Paid Parental Leave · Employee
Stock Purchase Plan
Keywords: Cognizant, Berkeley , AI Solution Architect, IT / Software / Systems , Berkeley, California
