11 hours ago
Hyderābād, IndiaSenior / Staff+
Responsibilities
- Lead architecture and technical strategy for multi-team Azure modernization and transformation programs.
- Translate client goals into scalable designs aligned with business priorities, non-functional requirements, delivery constraints, and program outcomes.
- Coordinate architecture across teams, domains, interfaces, dependencies, shared standards, and reusable patterns.
- Provide architectural guidance during implementation, including design and code reviews, guardrails, testability, and observability practices.
- Lead discovery, roadmap development, backlog structuring, dependency management, and delivery oversight for large programs or workstreams.
- Communicate architecture decisions and trade-offs to technical leaders, business stakeholders, executives, and clients.
- Mentor architects, senior engineers, and technical leads and participate in hiring, calibration, and development planning.
- Support strategic pursuits through technical vision, solution options, estimates, workshops, demos, and roadmap sessions.
- Build reusable reference architectures, runbooks, workshops, starter repositories, and templates for delivery teams.
- Champion modern frameworks, platform capabilities, automation, AI-assisted tools, and responsible technology adoption.
Requirements
- 10+ years of experience delivering solutions in a primary technical domain.
- 5+ years of experience in solution architecture and leading development or engineering teams, including multi-team or multi-workstream efforts.
- 8–10 years of experience in data science, machine learning, and Azure cloud technologies.
- Deep expertise in machine learning systems, MLOps, model pipelines, retraining, monitoring, data engineering, integration, feature engineering, model development, deployment, data architecture, storage, responsible AI, compliance, analytics, or visualization.
- Experience with supervised and unsupervised learning, time series, advanced modeling, production APIs, containers, DevOps practices, governance, lineage, and data quality controls.
- Experience leading architecture and delivery for Azure-based modernization, transformation, or platform build-out programs.
- Ability to define solution architectures connecting business goals to scalable technical designs and reliable delivery practices.
- Experience leading hybrid and remote teams across time zones and working in consulting or professional services environments.
- Experience with Agile or Scrum at scale, including backlog management, work slicing, dependency handling, and incremental delivery.
- Proficiency with modern development tools such as GitHub, Copilot, and CI/CD systems.
- Familiarity with generative and agentic AI concepts, data governance, metadata management, and Azure or Databricks certifications is preferred.
- Strong analytical, problem-solving, written, verbal communication, consulting, mentoring, and stakeholder-management skills.
- Ability to remain hands-on with architecture and implementation while guiding complex cloud solutions across teams.
- Interest in learning new cloud technologies and applying AI-augmented development or cloud-based AI services to practical business improvements.
Tech Stack
Categories
Data EngineeringML Engineering
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.