Lead AI Engineer

Capco; Pune District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Dormont Manufacturing Co is seeking a Lead AI Engineer in Pune to design and deliver AI/ML and Generative AI solutions aiming to enhance decision-making for Private Banking. The role involves developing scalable AI models and integrating AI capabilities into core banking platforms.

Ideal candidates must possess strong skills in Python and various ML/DL frameworks, with an understanding of data governance and working with wealth management data. This hybrid position encourages collaboration across engineering and business teams.

Qualifications

• Experience developing AI/ML and GenAI models.
• Understanding of data flows from core banking systems such as Avaloq.
• Awareness of AI governance, model risk, and regulatory considerations in banking.

Responsibilities

• Design and deliver AI/ML and Generative AI solutions.
• Develop and deploy AI/ML and GenAI models.
• Build scalable data pipelines and feature engineering workflows using structured and unstructured data.
• Integrate AI capabilities into enterprise platforms via APIs and microservices.
• Enable AI‑driven use cases such as client insights and automation of RM workflows.
• Implement model monitoring, governance, and performance optimization.

Skills

Python

ML/DL frameworks (TensorFlow, PyTorch, Scikit‑learn)

GenAI / LLM frameworks (LangChain, OpenAI, etc.)

AWS (S3, Lambda, SageMaker, Bedrock)

Tools

Data engineering (ETL pipelines, feature stores)

API development

Vector databases / embeddings

Job description

Job Details

Lead AI Engineer

Location: Pune (Hybrid)

Role Purpose Design and deliver AI/ML and Generative AI solutions that enhance client intelligence, automation, and decision‑making across Private Banking platforms, leveraging data sourced from core banking systems (e.g. Avaloq), CRM, and digital channels.

Key Responsibilities

• Develop and deploy AI/ML and GenAI models (e.g. NLP, summarization, recommendation engines)
• Build scalable data pipelines and feature engineering workflows using structured and unstructured data
• Integrate AI capabilities into enterprise platforms via APIs and microservices.
• Work with data originating from core banking platforms (e.g. Avaloq) including client, portfolio, and transaction data.
• Enable AI‑driven use cases such as client insights, next‑best‑action, and automation of RM workflows.
• Implement model monitoring, governance, and performance optimization aligned to enterprise standards.
• Collaborate with engineering and business teams to translate wealth use‑cases into scalable solutions.
• Experience working with wealth management data (clients, portfolios, transactions)
• Understanding of data flows from core banking systems such as Avaloq
• Awareness of AI governance, model risk, and regulatory considerations in banking

Skills & Experience

Primary:

• Python (mandatory)
• ML/DL frameworks (TensorFlow, PyTorch, Scikit‑learn)
• GenAI / LLM frameworks (LangChain, OpenAI, etc.)
• AWS (S3, Lambda, SageMaker, Bedrock)

Secondary:

• Data engineering (ETL pipelines, feature stores)
• API development
• Vector databases / embeddings