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Chief Architect-GRC

00067470381

WorkNEXT AI Transformation Head

Role Summary

The WorkNEXT AI Tech Expert is the technical ambassador for WorkNEXT AI modules—owning end-to-end client engagement, discovery, solution design, demos, pilots, and technical enablement. This role translates business pain points into pragmatic AI solutions, drives adoption and outcomes, and partners with product, engineering, and customer success to ensure WorkNEXT deployments deliver measurable value at scale.


Key Responsibilities

Client Engagement & Solutioning

  • Lead technical conversations with enterprise clients: discovery, requirements analysis, solution architecture, and value mapping.
  • Conduct tailored demos and hands-on workshops for WorkNEXT AI modules (e.g., workflows, assistants, analytics, automation).
  • Design proof-of-concepts (POCs) and pilot plans, including success criteria, data readiness, and deployment approach.
  • Translate business needs into AI-driven use cases and solution designs (incl. integrations, data pipelines, governance).

Technical Ownership

  • Build reference architectures and implementation playbooks for WorkNEXT AI modules across common enterprise stacks.
  • Partner with engineering to scope features, validate feasibility, and drive technical issue resolution.
  • Configure and optimize WorkNEXT AI models and workflows (prompt strategies, orchestration, guardrails, evaluation).
  • Ensure compliance with security, privacy, and responsible AI standards; coordinate with InfoSec and legal teams.

Customer Success & Enablement

  • Create client-facing technical collateral: solution briefs, runbooks, FAQs, architecture diagrams, ROI calculators.
  • Train client admins and super-users; develop enablement plans and adoption campaigns.
  • Monitor post-deployment health: performance metrics, drift, model evaluation, user feedback loops.

Cross-Functional Collaboration

  • Capture client feedback and market signals to inform product roadmap and prioritization.
  • Collaborate with Sales/Pre-Sales for deal strategy, estimates, and RFP responses.
  • Work with Data Engineering and Integration teams to ensure robust pipelines and API/connector reliability.

Required Skills & Competencies

Technical

  • Strong understanding of AI/ML foundations: NLP, LLMs, retrieval-augmented generation (RAG), prompt engineering, model evaluation.
  • Experience with cloud platforms (Azure/AWS/GCP), containerization (Docker/Kubernetes), and API integration patterns (REST, GraphQL, webhooks).
  • Knowledge of data pipelines (ETL/ELT), vector databases/embeddings, and observability of AI systems.
  • Familiarity with enterprise security, compliance, and responsible AI (RBAC, PII handling, auditability, human-in-the-loop).
  • Ability to create architecture diagrams, deployment runbooks, and performance monitoring strategies.

Client-Facing

  • Exceptional communication—can simplify complex AI concepts for non-technical stakeholders.
  • Consultative approach—discovery, problem framing, value story, and objection handling.
  • Strong demo presence; comfortable tailoring demos to industry verticals and role personas.
  • Negotiation and stakeholder management across business, IT, InfoSec, and procurement.

Mindset

  • Outcome-oriented: focuses on measurable business impact, not just features.
  • Curious and experimental: rapid prototyping, A/B testing, iterative improvement.
  • Ownership and accountability: proactive risk management, transparent communication.

Qualifications

  • 6–10+ years in Client-Facing Technical roles (e.g., Solutions Architect, Pre-Sales Engineer, AI Consultant).
  • 3+ years hands-on with AI/ML, LLM applications, or automation platforms.
  • Bachelor’s/Master’s in Computer Science, Data Science, Engineering, or equivalent experience.
  • Experience in at least one enterprise vertical (e.g., BFSI, Manufacturing, Retail, Healthcare) is a plus.
  • Certifications in cloud/AI (Azure AI Engineer, AWS ML Specialty, GCP ML Engineer) preferred.

Typical WorkNEXT AI Use-Case Areas (Adjust to your modules)

  • Knowledge assistant with RAG for policy/SOP retrieval, multilingual Q&A.
  • Process automation: ticket triage, claim summarization, email drafting, task routing.
  • Insight generation: summarization of meetings/chats, trend analysis, risk alerts.
  • Employee experience: HR policy assistant, IT helpdesk copilot, onboarding flows.
  • Compliance & governance: redaction, PII detection, audit-ready conversation logs.

Tools & Tech Stack (Illustrative)

  • Cloud & Infra: Azure (OpenAI, Cognitive Search), AWS (Bedrock, Sagemaker), GCP (Vertex AI).
  • Data: Databricks/Snowflake/BigQuery; ETL tools (ADF, Airflow), vector stores (Pinecone, FAISS).
  • Integration: REST/GraphQL APIs, iPaaS (MuleSoft, Boomi), event buses (Kafka).
  • Observability & Evaluation: Prometheus/Grafana, MLflow, human eval tooling, prompt/version management.
  • Security: OAuth2/OIDC, RBAC, KMS, DLP; Responsible AI guardrails & content filters.

What we offer

  • The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
  • Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
  • The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
  • A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
  • Flexible health and financial benefits to support you and your eligible dependents—from day one.
  • True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.  

About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge 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, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.

Other employment-related information
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.

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.

Language requirements vary depending on roles, but 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.

Your path to Cognizant

Wondering what to expect after you apply? Here’s a peek at our recruitment process—and keep in mind that not all candidates advance through every step and the process may vary depending on your role and location.

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Step 1: Application

Find an open role that aligns with your skills and career goals and show us why you’re the person for the job. Consider joining our Talent Community if you don’t find the right opportunity.

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Step 2: Recruiter call

If one of our recruiters sees a fit, they’ll set up a short introductory call to learn more about you and how your experiences and skills align with the role.

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Step 3: Interview(s)

If you and our team would like to continue the process, you’ll meet with one of our hiring managers. Some roles may also require technical assessments and/or client interviews.

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Step 4: Final decision

Our hiring team will then review each candidates’ potential to succeed in the role. This process may take some time because we want to get it right—but you can count on us to keep you updated.

Benefits that help you thrive and grow

Our teams achieve incredible things when they feel fully supported. That’s why our benefits program is built around the diverse needs of our people—so they can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

Financial wellbeing

We regularly review market data to ensure compensation is competitive and reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, discount programs, etc.

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Physical and mental wellbeing

Physical and mental wellbeing

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

Your career, your way

With 90% of our associates building skills through GenAI training, job shadowing, industry certifications and more, you have everything you need to build a full career.

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Real-world impact

Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

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