Lead AI Engineer
Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 26, 2026.
Designation: Lead AI Engineer
Location: IND- Bangalore
About Us
TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO.
For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’.
Job Responsibilities
Your role will entail:
Responsible for leading a team of talented AI Analysts or Engineers responsible for designing, building, and maintaining scalable AI solutions
Develop and implement advanced Generative AI solutions (LLMs, embeddings, retrieval techniques, prompt engineering)
Ensure that data architectures and infrastructures can scale seamlessly as the data volume and complexity grow
Lead, mentor, and develop a team of AI Engineers, fostering a collaborative and inclusive team environment
Identify and address skill gaps, and provide opportunities for professional development
Coordinate with stakeholders to gather requirements, set priorities, and define project timelines
Ensure projects align with overall business objectives and data strategy
Ensure data quality, integrity, and security across all data engineering projects
Identify opportunities for process improvements and drive initiatives to enhance the efficiency and effectiveness of data operations
Ability to build/drive reusable frameworks that can drive efficiency of the overall data system
Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes
Tech:
Experience of 6-10 years in development and deployment of scalable AI/ML solutions
Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc
Develop and implement advanced Generative AI solutions (LLMs, embeddings, retrieval techniques, prompt engineering)
Design and optimize Retrieval-Augmented Generation (RAG) solutions
Manage Databricks workflows, including job and cluster creation also Databricks API
Apply data structures and algorithms knowledge, including multiprocessing and optimization techniques
Utilize Python libraries (Pandas, Numpy, FastAPI) for data processing and API development
Perform SQL optimization and database architecture design (schema creation, normalization, functions, triggers)
Deploy and orchestrate AI models using Docker and Kubernetes
Collaborate using GitHub for version control and team collaboration
Work with cloud platforms for AI solution deployment and management (Azure, GCP, AWS)
Utilize PySpark for data processing (optional)
Basic understanding of CI/CD pipelines and deployment process
Non-Tech:
Strong problem-solving skills with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients
Proficient in written and verbal communication and able to hold conversations with mid-management-level clients
Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact
Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation
Shows proficiency in providing technical guidance and provide leadership and mentorship to the delivery team
Self-driven with a strong sense of ownership
Good to Have Skills
Familiarity with data visualization tools and techniques
Knowledge of data security and privacy practices
Understanding of data governance and compliance frameworks
Experience with graph databases and graph processing frameworks
Experience with data virtualization and data federation techniques
Proficiency in data profiling and data quality management
Being a Mathemagician
Understand & embody MathCo’s culture and way of working.
Demonstrate an ownership mindset to drive results, striving for excellence.
Engage actively and contribute to initiatives fostering company growth.
Support diversity and understand different perspectives.
As a testament to our growth, we have been,
Positioned as a Leader in Top Generative AI Service Providers - PeMa Quadrant 2023 by AIMResearch
Recognized among the Inspiring Workplaces in North America, 2023
Accredited for Inclusive Practices by Great Place to Work Institute, India
Recognized among India’s Best Workplaces™ for Diversity, Equity, Inclusion & Belonging 2023 by Great Place To Work® India
.... among others. To know more visit our website.