Senior AI Engineer

Job Summary:

Provides application or infrastructure technical expertise, analysis and specifications for IT systems to meet business requirements in accordance with IT architecture policies and standards; translate requirements into technical specifications, create detailed solution design, coordinate construction, installation, configuration and testing of IT systems; and identifies, troubleshoots and resolves system technical issues.

Key Responsibilities:

Assists in creating and managing the technical specifications from which programs and configurations will be applied to create the application, infrastructure or complete solution. Assists in technical analysis of potential solutions including evaluating the technical fit and viability of commercial-of-the-shelf products versus custom built solution. Delivers solution design, adhering to standards and leveraging re-use of components. Assists in creating high level and detail design of infrastructure OR applications, interfaces, conversions, extensions, reports, and workflows while meeting architecture, security, performance, scalability, and maintainability requirements. Assists technical and infrastructure groups in understanding the solution design and specifications. Works closely with IT technical service providers to ensure outsourced work packages are delivered to specifications, meeting key parameters of quality, schedule, cost, security, performance, and scalability. Participates in formal design reviews and code reviews (where applicable) to ensure the detailed design specifications have been understood and coding standards have been adhered to by the development team(s). Leverages re-usability of component designs to reduce costs and shorten time to deliver solution Ensures adherence to obtain efficiency in the build and deploy processes, leveraging automation where possible. Assists in the test strategy and execution of master test plan. Participates in the creation of standards, processes, procedures, and guidelines for the IT design and development community as well work instructions or ‘runbooks’ used for end-user support. Analyzes and revises existing systems and documentation to identify remediation or improvements in the application or infrastructure solution. Provides level 3 support for critical issues.

Key Responsibilities:
• Design and deploy agent-based systems using LangChain, LlamaIndex, and Python/Java, LangGraph, CrewAI, AutoGen
• Optimize LLM performance for high-throughput environments using quantization, model pruning, and cloud-native deployment
• Implement and orchestrate tools, memory, and planning components in agent workflows.
• Optimize LLM performance for high-throughput environments using quantization, model pruning, and cloud-native deployment
• Implement tracing, logging, and monitoring for agent decisions to ensure transparency

Required Skills:
• Strong Python experience to build multiple GenAI / Agentic AI Solutions.
• Should have worked Copilot and ChatGPT
• Should have experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen. 
• Should have experience on evaluation & observability
• Experience working on SQL Query, NLP, CV, Deep Learning Algorithms
• Should have working experience with Open Source Models

Experience:
• Overall 8 - 10 years' experience in Manufacturing domain with 3-5 years in Generative AI / Agentic AI
• Experience of PLM (Windchill Preferred)
• Delivered at least 2 GenAI/Agentic AI solutions for clients
• Extensive experience of minimum 6+ years on Python
• Led 2–3 successful POCs/MVPs for Business
• Led team of minimum 3 AI Engineers

Competencies: 
Customer focus - Building strong customer relationships and delivering customer-centric solutions. 

Global perspective - Taking a broad view when approaching issues, using a global lens. 

Manages complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. 

Manages conflict - Handling conflict situations effectively, with a minimum of noise. 

Optimizes work processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement. 

Data Modeling - Creates, writes and tests data models, test scripts and build scripts using industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. 

Performance Tuning - Conceptualizes, analyzes and solves application, database and hardware problems using industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. 

Solution Configuration - Configures, creates and tests a solution for commercial off-the-shelf (COTS) applications using industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. 

Solution Design - Creates and defines the solution design complete with instrumentation and measurement, using industry standards and tools, version control, and build and test automation to synthesize diagrams, models and documentation in order to build a solution that meets buildability, business, technical, security, governance and compliance requirements. 

Solution Functional Fit Analysis - Composes and decomposes a system into its component parts using procedures, tools and work aides for the purpose of studying how well the component parts were designed, purchased and configured to interact holistically to meet business, technical, security, governance and compliance requirements. 

Solution Modeling - Creates, designs and formulates models, diagrams and documentation using industry standards, tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. 

Solution Validation Testing - Validates a configuration item change or solution using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements. 

Values differences - Recognizing the value that different perspectives and cultures bring to an organization. 

Education, Licenses, Certifications: 
College, university, or equivalent degree in Computer Science, Information Technology, Business, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. 

Experience: 
Intermediate level of relevant work experience required. 3-5 years of experience.