IN_Senior Manager_AI Engineer_Digital Engineering Transformation_Advisory_Bangalore
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IN_Senior Manager_AI Engineer_Digital Engineering Transformation_Advisory_Bangalore
Location
Bengaluru Millenia
Experience
Senior
Posted
Jul 10, 2026
Apply by
July 22, 2026
Applicants
0
Early applicantFull-timeWork from Office
Job Description
**Line of Service**
Advisory
**Industry/Sector**
Not Applicable
**Specialism**
Operations
**Management Level**
Senior Manager
**Job Description & Summary**
At PwC, our people in business services and support focus on providing efficient and effective administrative support to enable smooth operations within the organisation. This includes managing schedules, coordinating meetings, and handling confidential information.
Those in client administration at PwC will focus on managing and coordinating client relationships, prioritising smooth communication and efficient service delivery. You will utilise strong organisational skills and attention to detail to support the overall client experience.
\*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more
[about us](https://www.pwc.in/about-us.html)
.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
**Job Description & Summary:**As an Embedded/Firmware Engineer, you'll work on connected devices — RTOS, sensor drivers, low-power design, and OTA update mechanisms. This is a key profile in Digital Engineering team; without it, IoT projects stall at the physical layer. Join us to bring hardware to life and shape PwC's Digital Engineering capability.
**Responsibilities:**
- Build and deploy RAG pipelines using LangChain, LlamaIndex, and vector databases
- Implement agentic workflows using Model Context Protocol (MCP) for enterprise AI applications
- Design and operationalise LLM integrations with Azure OpenAI, Bedrock, and Anthropic APIs
- Build MLOps pipelines using MLflow, SageMaker, or Azure ML
- Transform unstructured R&D data into queryable AI assets
- Collaborate with domain experts to apply Scientific ML (PyTorch, JAX) to engineering problems
**Mandatory skill sets:**
- LLM integration and fine-tuning
- RAG pipelines: LangChain, LlamaIndex
- Model Context Protocol (MCP) for agentic AI systems
- Vector databases: Pinecone, Weaviate, Chroma
- MLOps: MLflow, SageMaker, Azure ML, Vertex AI
- Python testing for ML pipelines and model validation
**Preferred skill sets:**
- Scientific ML: PyTorch, JAX, graph neural networks (preferred)
**Years of experience required:**
10+ years
**Education qualification:**Any UG/PG
**Education** *(if blank, degree and/or field of study not specified)*
Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering
Degrees/Field of Study preferred:
**Certifications** *(if blank, certifications not specified)*
**Required Skills**
Artificial Intelligence
**Optional Skills**
Accepting Feedback, Accepting Feedback, Active Listening, Administrative Support, Analytical Thinking, Business Administration, Business Analysis, Business Information System, Business Process Improvement, Business Process Management (BPM), Clerical Support, Client Interaction, Client Management, Client Onboarding, Coaching and Feedback, Communication, Communications Management, Confidential Information Handling, Creativity, CRM Software, Customer Relationship Management, Data Analysis and Interpretation, Data Entry, Data Interpretation, Data Processing {+ 34 more}
**Desired Languages** *(If blank, desired languages not specified)*
**Travel Requirements**
Not Specified
**Available for Work Visa Sponsorship?**
No
**Government Clearance Required?**
No
**Job Posting End Date**
May 19, 2026
Key Responsibilities
- Build and deploy RAG pipelines using LangChain, LlamaIndex, and vector databases
- Implement agentic workflows using Model Context Protocol (MCP) for enterprise AI applications
- Design and operationalize LLM integrations with Azure OpenAI, Bedrock, and Anthropic APIs
- Build MLOps pipelines using MLflow, SageMaker, or Azure ML
- Transform unstructured R&D data into queryable AI assets
- Collaborate with domain experts to apply Scientific ML to engineering problems
Requirements
- Bachelor of Engineering
- Master of Engineering
Skills Required
LLM integrationLLM fine-tuningRAG pipelinesLangChainLlamaIndexModel Context ProtocolVector databasesPineconeWeaviateChromaMLOpsMLflowSageMakerAzure MLVertex AIPythonScientific MLPyTorchJAXCommunicationClient ManagementCollaborationGraph Neural NetworksAccepting FeedbackActive ListeningAdministrative SupportAnalytical ThinkingBusiness AdministrationBusiness AnalysisBusiness Information SystemBusiness Process ImprovementBusiness Process ManagementClerical SupportClient InteractionClient OnboardingCoaching and FeedbackCommunications ManagementConfidential Information HandlingCreativityCRM SoftwareCustomer Relationship ManagementData Analysis and InterpretationData EntryData InterpretationData Processing
Benefits
- Inclusive benefits
- Flexibility programmes
- Mentorship
- Wellbeing support
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