16 hours ago
Base Salary
$115k - $130k/yr
Responsibilities
- Define end-to-end enterprise architectures for AI, generative AI, agentic AI, and machine learning solutions.
- Evaluate business challenges and recommend approaches involving machine learning, deep learning, NLP, RAG, generative AI, and AI agents.
- Establish reusable architecture patterns, frameworks, standards, governance practices, and reference architectures.
- Ensure AI solutions meet requirements for scalability, security, reliability, performance, governance, and maintainability.
- Lead model strategy covering feature engineering, prioritization, calibration, training methodologies, evaluation, tuning, and optimization.
- Guide AI lifecycle management, including model deployment, monitoring, and continuous improvement.
- Collaborate with business stakeholders, data scientists, engineering teams, enterprise architects, and technology leadership.
- Influence architectural decisions across multiple business units and lead global cross-functional teams.
Requirements
- Bachelor's or master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Extensive experience architecting and delivering enterprise-scale AI, machine learning, and generative AI solutions.
- Strong expertise in machine learning, deep learning, NLP, large language models, and modern AI frameworks.
- Experience designing architectures aligned with enterprise security, governance, scalability, and performance requirements.
- Proven ability to translate complex business and technical requirements into AI-driven solutions.
- Experience with feature engineering, model evaluation, tuning, calibration, training methodologies, and performance optimization.
- Strong understanding of AI lifecycle management, model deployment, monitoring, and continuous improvement.
- Experience with agentic AI frameworks, autonomous agents, multi-agent architectures, RAG, vector databases, knowledge graphs, and semantic search is helpful.
- Familiarity with reinforcement learning, advanced model calibration, AI architecture standards, governance frameworks, and enterprise AI best practices is helpful.
- Experience leading global, cross-functional teams and influencing architectural decisions across business units is helpful.
Benefits
- Hybrid work requiring 3 to 4 days per week in a client or Cognizant office in Glendale, Wisconsin.
- Medical, dental, vision, and life insurance.
- Paid holidays and paid time off.
- 401(k) plan and contributions.
- Long-term and short-term disability coverage.
- Paid parental leave.
- Employee Stock Purchase Plan.
- Eligibility for a discretionary annual incentive program based on performance and applicable plan terms.
Categories
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.