Customer
The Customer Team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, GenAI, transformative technologies, and creative design. We enable Deloitte client service teams to enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital product and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects, balancing business strategy, technology, creativity, and ongoing managed services to help solve the biggest problems that impact customers, partners, constituents, and the workforce. We also offer Business Process as a Service, enabling organizations to streamline operations and achieve greater efficiency through scalable, technology-enabled managed insights that guide ongoing transformation and operational excellence.
Position Summary
Level:
Manager or equivalent
As an AI engineering architect,You will provide hands-on leadership for high-impact products, ensuring our solutions are innovative, effective, and aligned with business goals. You will contribute to and execute a forward-looking technology roadmap, driving simplification, scalability, and efficiency. Leveraging your deep expertise in software engineering—including application and data integration, modern frameworks, and diverse technologies—you will guide teams in delivering robust, high-quality solutions. As a role model and mentor, you will foster a culture of technical excellence, continuous learning, and collaboration.
Work you’ll do:
Technical Leadership & Architecture
Client Engagement & Solution Design
Team Management & Development
Service Delivery Excellence
The team:
Our Advertising, Marketing & Commerce team focuses on delivering marketing and growth objectives aligned with our clients’ brand values for measurable business growth. We help clients turn business values into measurable growth through creatively driven, personalized content, communications, and experiences that engage and inspire people to act. We implement and operate the technology platforms that enable personalized content, commerce and marketing user-centric experiences. In doing so, we transform our clients’ marketing and engagement operations into modern, data-driven, creatively focused organizations. Our team brings deep experience in creative and digital marketing capabilities by a combination of key focus areas i.e, Brand, Advertising, Experiences, Content, Marketing, Commerce, Products, Data and measurement/analysis.
Qualifications
Must Have Skills/Project Experience/Certifications:
10+ years of proven experience with programming languages, technologies, and frameworks such as Python, C#, Java, Node.js, Golang, .NET Core, XML/JSON, REST/SOAP/GraphQL, SQL/NoSQL, SSO/MFA, and unit testing frameworks.
Hands-on experience with
LLM/GenAI engineering patterns
(RAG, tool calling, agent orchestration, evaluation).
Practical experience with
MLOps/LLMOps
: CI/CD, experiment tracking, model/prompt versioning, monitoring/observability.
Hands-on experience building production LLM workflows with LangChain or LangGraph, specializing in advanced state management, routing, and robust error handling.
Proven ability to implement resilient tool execution, sophisticated memory/context strategies, and schema-validated structured outputs for scalable AI applications.
Excellent software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data structures, algorithms, code instrumentation, and messaging patterns (e.g., routing, transformation, construction, channel, endpoint, adapter, sequencing).
5+ years of experience with defining and driving engineering KPIs, implementing engineering maturity models, and driving continuous improvement.
3+ years of experience with AI/ML; experience with the latest GenAI models is preferred.
Deep understanding of methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, CAST, etc., to deliver high-quality products rapidly.
Proven ability to drive adoption of modern engineering practices at scale, including cross-functional collaboration.
Proven track record of leading, mentoring, and developing diverse engineering teams, fostering a culture of innovation, inclusion, and continuous learning.
Strong understanding of security, privacy, and compliance requirements in enterprise software engineering.
Demonstrated experience aligning engineering initiatives with business and customer value, delivering measurable outcomes in agile environments.
Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care
Good to Have Skills/Project Experience/Certifications:
Strong understanding of Life Sciences regulatory frameworks (e.g., GxP, FDA, EMA) and data privacy regulations (HIPAA, GDPR), coupled with practical knowledge of pharmaceutical, biotechnology, and medical device operation
US/Global Healthcare or pharmaceutical or Medtech industry/consulting digital experience
Experience with edge AI deployment and optimization
Familiarity with specialized AI domains (computer vision, robotics, speech recognition)
Education:
BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
Location:
Bengaluru/Hyderabad/Pune/Chennai
