AI and Data Engineer

Role Summary

AI and Data Engineer role focused on development and deployment of scalable AI solutions to support business functions. Collaborates with cross-functional teams to translate requirements into technical specifications, develop AI tools and frameworks, and provide AI-driven insights to inform strategic decisions.

Responsibilities

• Development and implementation of scalable AI solutions to address complex business challenges in Finance, HR, Law, Compliance and Learning.
• Develop new AI/Gen AI tools aligned with business objectives and ensure they are operationalized effectively.
• Build and optimize AI agents that can autonomously handle complex tasks, make decisions, and deliver insights in real-time.
• Develop, integrate, and continuously improve AI-powered chatbots and virtual assistants to support employees across various teams.
• Focus on augmenting the decision-making capabilities of leadership teams by providing AI-powered insights that inform strategic initiatives for BMS.
• Collaborate with cross-functional teams to translate business requirements into technical specifications and solutions.
• Conduct thorough testing and validation of AI models to ensure accuracy and reliability.
• Develop standard AI frameworks for streamlined deployment practices.
• Establish and maintain consistent documentation of AI capabilities.
• Work closely with data & analytics, technology teams and business stakeholders across Enabling Functions to ensure alignment on AI initiatives and goals.
• Use data storytelling techniques when presenting to business stakeholders to clearly communicate technical value provided.
• Help develop standardized capabilities and best practices within the AI development space.
• Contribute to the standardization of AI deployment methodologies.
• Ensure adherence to operating policies and drive a culture of analytics and fact-based decision making.

Qualifications

• Minimum of 2 years of hands-on experience working in AI or ML, data science, data integration, and reporting.
• Minimum of 1 year of hands-on experience working with LLMs.
• Bachelor's degree in computer science, information systems, computer engineering, or equivalent.
• Experience with cloud-based environments (AWS, Azure, Google AI, etc.).
• Proficiency in Python/R and SQL.
• Hands-on experience with designing and deploying machine learning models using Scikit-Learn, TensorFlow, PyTorch, etc.
• Experience with Git.
• Excellent communication and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.
• Ability to work collaboratively with technical peers across locations (US, EU, India).

Preferred Qualifications

• Master's degree in computer science, information systems, computer engineering, data science, or related technical field.
• Experience with AI applications in a regulated environment (health care, biotech, pharmaceuticals).
• Proven track record of development of AI projects from conception to deployment, including stakeholder management and delivering impactful results.
• Familiarity with additional AI frameworks and tools beyond those listed (e.g., Agentic, LLMs, Computer Vision, text-to-code).
• Experience with Agile methodologies and tools (e.g., JIRA, Confluence).

Experience

• Excellent interpersonal, collaborative, team-building, and communication skills for effective collaboration within matrix teams.
• Strong analytical skills with substantial knowledge of AI.
• Ability to quickly gain and apply functional area-specific knowledge.
• Experience interpreting analytical results and translating insights into business implications.
• Experience interacting with business stakeholders to understand, anticipate, and fulfill analytical information requirements.
• Creative problem-solving skills to answer key business questions.
• Ability to work with diverse teams across organizational lines and structures.