At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
AI Architect
Location
India
Posted
16 days ago
Salary
0
Seniority
Mid Level
Job Description
AI Architect
Zensar
Role Description The AI Architect is responsible for defining, designing, and governing end‑to‑end AI and GenAI solutions that are scalable, secure, and aligned with business strategy. This role bridges business needs, data engineering, ML engineering, and cloud platforms to deliver production‑grade AI systems across the enterprise. Qualifications - Strong experience in AI architecture, machine learning, and deep learning concepts. - Hands‑on knowledge of Python and ML frameworks (TensorFlow, PyTorch, Scikit‑learn). - Experience with GenAI and LLM ecosystems (OpenAI, Azure OpenAI, Anthropic, open‑source models). - Expertise in MLOps tools and practices (CI/CD, model registries, monitoring). - Experience with data platforms (Data Lakes, Snowflake, BigQuery, Databricks). - Knowledge of API‑based AI integration, MCP, microservices, and event‑driven architectures. - Strong experience with at least one major cloud platform: Azure, AWS, or GCP. - Familiarity with containerization and orchestration (Docker, Kubernetes). - Understanding of infrastructure‑as‑code and DevSecOps practices. Requirements - 8–12+ years of overall IT experience, with 3–5+ years in AI/ML solution or platform architecture roles. - Proven experience delivering AI solutions into production at scale. Benefits - Inclusive workplace culture that celebrates individuality. - Commitment to employee growth and well-being. - Equal employment opportunity (EEO) and affirmative action employer.
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