About Cognizant Consulting
Cognizant Consulting is more than Cognizant's consulting practice - we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you?
About the role
As a Senior Manager Consulting, AI Architecture and Engineering, you will make an impact by translating business priorities into secure, scalable, production-grade AI platforms and customer-facing solutions. You will be a valued member of the consulting team and work collaboratively with product, data, cloud, security, risk, legal, business leaders, engineering teams, and clients.
In this role, you will:
· Define and govern target architectures, reference patterns, reusable services, and engineering standards for enterprise AI, generative AI, retrieval-augmented generation, agentic applications, and AI-enabled digital products.
· Lead solutions from discovery and architecture through implementation, evaluation, deployment, and production operations, while remaining hands-on in design reviews, prototyping, troubleshooting, and critical technical decisions.
· Architect model-agnostic AI solutions using frontier and open models, stateful agents, multi-agent workflows, tool calling, memory, human approvals, Model Context Protocol, vector or graph retrieval, and secure enterprise integrations.
· Establish AI platform and LLMOps practices covering prompt and model versioning, automated evaluation, CI/CD, observability, rollback, incident response, latency, reliability, cost optimization, and responsible-AI controls.
· Lead, mentor, and develop architects and engineers while partnering with cross-functional leaders to prioritize use cases, manage tradeoffs, assess vendors, strengthen engineering quality, and deliver measurable customer, employee, and operational outcomes.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Atlanta, Georgia. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations.
What you must have to be considered
· 12+ years of software, platform, data, or cloud engineering experience, including 5+ years in architecture or technical leadership, with demonstrated delivery of enterprise-scale production AI systems.
· Hands-on expertise in LLM application engineering, agents, retrieval-augmented generation, evaluation, guardrails, distributed systems, cloud architecture, and multiple model providers.
· Experience establishing secure, reliable AI platform and LLMOps practices, including CI/CD, observability, automated evaluation, incident response, privacy, security, governance, resilience, and cost optimization.
· Experience guiding modern full-stack and distributed-system engineering using Angular and TypeScript, C# and .NET, APIs and events, PostgreSQL or AlloyDB, Redis, vector or graph stores, containers, and Google Cloud services such as Vertex AI, Gemini, Cloud Run, GKE, Pub/Sub, IAM, and Cloud Monitoring.
· Strong executive communication, client-facing leadership, cross-functional collaboration, mentoring, and technical decision-making skills.
These will help you succeed
· Experience with LangGraph, Semantic Kernel, LangChain, LlamaIndex, GraphRAG, or comparable frameworks.
· Experience applying AI-native and specification-driven engineering practices, including coding agents, repository instructions, reusable skills, automated testing, security checks, validation gates, architecture decisions, and requirement-to-code traceability.
· Ability to assess emerging AI technologies and vendors, manage technical and business tradeoffs, and connect architecture decisions to measurable outcomes.
· Ability to build engineering standards, lead design and code reviews, and develop communities of practice.
· Experience operating in complex consulting or enterprise environments with accountability for delivery quality, operational reliability, security, and cost.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Compensation
$98,853 - $182,500
This position is eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits
· Medical, dental, vision and life insurance
· 401(k) plan and contributions
· Employee stock purchase plan
· Employee assistance program
· 10 paid holidays plus PTO
· Paid parental leave and fertility assistance
· Learning and development certifications and programs
Things to know before you apply
- Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
- Accommodations: If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
- AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
- Open position: Unless otherwise stated, this job posting is for an open position on our team.
- Language proficiency: We ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
- Inclusion: Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
