Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

The VSSE- Ecosystem of AI Tools (VSSE-EAT) is at the forefront of Ford's mission to integrate artificial intelligence into the heart of vehicle engineering. We are looking for a Technical Lead to lead a multidisciplinary team in transforming a fragmented collection of 0 to 1 stage AI projects into a robust, interconnected, and enterprise-scale ecosystem to drive quantified business value.

In this role, you will move beyond managing individual features. You will be the visionary architect of a platform that allows AI tools to collaborate using advanced frameworks such as Agent to Agent(A2A) or Model Context Protocol (MCP).

Responsibilities

Scaling & Standardization

• From POC to Production: Lead the re-architecting of tools currently in Discovery or POC stages to ensure they are compliant with Ford standards and can scale to support 1000s of global users.

• Robust Frameworks: Collaborate with your squad of Full-stack, Data and DevOps engineers to build an integrated and extensible framework that is both robust and efficient.

• Governance: Establish the 'rules of the road' for AI tools within the ecosystem, ensuring they are secure, compliant, and maintainable.

Ecosystem Orchestration & MCP Leadership

• Multi-Agentic Strategy: Design the framework for a multi-agentic architecture where specialized agents (focused on hardware, electrical, or software) can collaborate seamlessly.

• MCP at Ford: Take the lead in implementing the enterprise standard for Model Context Protocol (MCP) in the VSSE ecosystem. You will define how different AI agents and tools share context and data to solve complex automotive problems in a secure and scalable way.

• Low-Code Empowerment: Drive the product roadmap for an Agent Builder that allows non-technical business customers to create and deploy AI agents, while maintaining the technical depth required for engineering teams.

Cross-Functional Leadership & Metrics

• Squad Leadership: Lead a dedicated team of Data Scientists, Product Designers, and Developers. You are the 'glue' that connects user experience (UX) with deep data science and backend stability.

• Business Collaboration: Work closely with business customers to understand Ford-specific data (Hardware, Electrical, Software) to ensure data integrity and alignment.

Qualifications

• Bachelors degree in computer science, Engineering, or a related technical field, Masters degree preferred.

• 7+ years in software development

• 2+ years focused on Generative AI

• 3+ years of experience defining product vision, strategy, product roadmaps and building and managing backlogs

• 2+ years working with Agile software methodologies (Scrum, eXtreme Programming, Kanban)

• AI/ML Fundamental Literacy: Deep understanding of the LLM lifecycle, including fine-tuning, Retrieval-Augmented Generation (RAG), and the difference between probabilistic and deterministic outputs.

• Software Engineering Foundation: A background in professional software development (e.g., Python, Java, or C++). You must be able to discuss system architecture, API design, and latency trade-offs with your engineers.

• Architecting for Scale: Proven experience taking a software product from a local 'lab' environment to a production environment supporting hundreds of concurrent users (knowledge of Kubernetes, cloud scaling, and load balancing).

• Protocol & Framework Knowledge: Ability to quickly master and implement emerging protocols like Model Context Protocol (MCP) and multi-agent orchestration frameworks (e.g., LangChain, AutoGen, or CrewAI).

• Data Systems: Proficiency in navigating complex data environments, specifically how to integrate AI tools with enterprise data lakes while maintaining governance.

• Lifecycle Management: Experience managing the 'Maturity Pipeline' - moving products from Discovery/POC through Beta to a hardened Production state.

• Platform Thinking: Ability to move beyond 'single-feature' thinking to build an extensible ecosystem where tools share context and interact via a unified framework.

• Metric-Driven Leadership: A track record of optimizing Time to Market (TTM) and User Adoption. You should be able to demonstrate how you've used telemetry and user feedback to pivot or accelerate a product.

• Squad Leadership: Experience leading a diverse team of Data Scientists, Full-stack/Front-end Developers, and Designers. You must be able to speak all their 'languages'.

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Our AI Acceleration organization is building high-impact AI-powered applications that deliver real business value at speed. As a Staff AI Engineer, you'll play a critical role in designing, building and deploying scalable AI-powered applications through proven software engineering completion combined with pragmatic use of modern Data Science and AI capabilities.

This is a role for top-tier engineers who are excited about applying AI in practical and scalable ways. We're looking for strong technical leaders who thrive at the intersection of well-adapted software development and modern AI application.

You should be comfortable working across the full lifecycle of a product,from ideation, architecture and data modelling to deployment, automation and operations,while navigating ambiguity and driving toward execution. Strong systems thinking, ownership mindset, and the ability to ship value fast are crucial.

You will work closely with engineers, data scientists, product managers, and business stakeholders to define problems, shape solutions, and ensure models perform reliably in the real world.

If you're passionate about building AI solutions that go beyond prototypes,solutions that are engineered for scale, reliability, and real-world value,AI Acceleration is the team for you.

Job Responsibilities

• Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design).
• Define and implement foundational platforms (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise.
• Lead architectural decisions, bringing standard processes in software development lifecycle, explainable, and responsible AI.
• Lead multi-functional team initiatives,embedded projects with business stakeholders,to rapidly build and deploy AI solutions that tackle high-priority problems.
• Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation) into robust applications.
• Champion automation in workflows,from data ingestion and preprocessing to model integration and deployment. Define their success criterias, metrics and standard operation procedures.
• Partner with data scientists, product managers, and other engineers to ensure end-to-end delivery and reliability of AI products.
• Stay ahead of with emerging AI technologies but prioritize practical application and delivery over experimental research.
• Chip in to the internal knowledge base, tooling libraries, and documentation to scale engineering practices across the organization.
• Mentor other engineers and data scientists and provide technical leadership across projects, helping set the standard for rigor and impact.

Job Qualifications

• Required:
• 7+ years of professional software engineering experience; ability to independently design and ship complex systems in production.
• Strong programming skills in Python (preferred), Java, or similar languages, with experience in developing microservices, APIs, and backend systems.
• Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices.
• Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents and crew of agents etc.).
• Experience with large language models (LLMs), vector-based search, retrieval-augmented generation (RAG), or unstructured data processing.
• Ability to move quickly while maintaining code quality, test coverage, and operational excellence.
• Strong problem-solving skills and a bias for action, with the ability to navigate ambiguity and lead through complexity.
• Strong experience with technical mentorship and cross-team influence.
• Ability to translate complex technical ideas into clear business insights and communicate effectively with cross-functional partners.
• Preferred:
• Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems.
• Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits.
• Experience building reusable modeling components or contributing to internal ML platforms.
• Background in working with embedded teams or in forward-deployed environments where rapid iteration and close business collaboration are key.
• Proficiency in Python and common ML/data science libraries (e.g., scikit-learn, pandas, NumPy, PyTorch, TensorFlow).
• Solid knowledge of machine learning fundamentals, including supervised and unsupervised learning, model evaluation, and statistical inference.
• Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats.
• Experience building chatbots, search systems, or generative AI interfaces.
• Background in working within platform engineering or internal developer tools teams.

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We are looking for technically hands-on professionals to design and deliver client-centric intelligent systems and support business growth through strategic pre-sales and solutioning initiatives. As part of our growing Enterprise AI consulting practice, we deliver real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture.

Key Responsibilities: Design and implement AI agents using LangChain, CrewAI, or AutoGen for enterprise-grade use cases. Develop modular code for task decomposition, memory handling, and tool integration with APIs. Collaborate with AI strategists and architects on project design and MVP delivery. Conduct testing and fine-tuning of agent behavior using LLM APIs and embeddings. Participate in internal code reviews, documentation, and reusable framework building. Support pre-sales demos and client innovation sessions with hands-on prototypes.

Requirements: Bachelor's or Master's degree in Computer Science, AI, or related field. PhD preferred for architect-level roles. 3+ years in AI/ML, with recent experience in agentic systems and hands-on development of LLM-based applications. Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar. Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution. Experience with RFP/RFI support, and proposal creation in a consulting or enterprise services environment. Understanding of enterprise solutioning with cloud platforms (AWS, Azure, GCP), API integration, and data security best practices. Exceptional communication and consulting skills, with the ability to present solutions to both technical and non-technical stakeholders.

Preferred Skills: Strong proficiency in programming languages such as Python, Java, Spring, Maven, JSON. Object Oriented Programming Hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments. Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs. Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems.

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Job Overview:

Infosys Consulting is at the forefront of applied AI innovation, delivering real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture. As part of our growing Enterprise AI consulting practice, we are looking for technically hands-on professionals to design and deliver client-centric intelligent systems and support business growth through strategic pre-sales and solutioning initiatives.

Key Responsibilities:

• Design, develop, and deploy autonomous AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel.
• Architect LLM-powered workflows involving multi-agent collaboration, decision logic, memory management, and external tool integration.
• Collaborate with consulting teams to align AI agent solutions with business goals and industry use cases across sectors (FSI, Retail, Manufacturing, etc.).
• Participate in RFI/RFP responses, creating high-impact solution overviews, architectural diagrams, and effort/cost estimations.
• Work closely with AI Strategists, Engagement Managers, and Domain SMEs to define solution blueprints, MVP scopes, and transformation roadmaps.
• Engage in client workshops, demos, and innovation showcases to articulate the potential of Agentic AI and its enterprise applications.
• Contribute to the development of reusable agent templates, accelerators, and reference architectures within Infosys' AI frameworks.
• Stay current with GenAI advancements, toolchains, and research (LLMs, embeddings, vector DBs, agent planning/reasoning).
• Provide technical mentorship and hands-on support to junior consultants, helping shape internal capability development.
• Collaborate with cross-functional teams on AI governance, responsible AI practices, and integration into enterprise environments.

Requirements:

• Bachelor's or Master's degree in Computer Science, AI, or related field. PhD preferred for architect-level roles.
• 8+ years of experience in AI/ML, including 5+ years as a Solution Architect and 4+ years of hands-on development with LLMs and autonomous AI agents
• Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar.
• Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution.
• Experience with pre-sales, RFP/RFI support, and proposal creation in a consulting or enterprise services environment.
• Understanding of enterprise solutioning with cloud platforms (AWS, Azure, GCP), API integration, and data security best practices.
• Exceptional communication and consulting skills, with the ability to present solutions to both technical and non-technical stakeholders.

Preferred Skills:

• Hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments.
• Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs.
• Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems.

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We are seeking an experienced AI/GenAI engineer to join our team at Synopsys. As a Principal AI/GenAI Engineer, you will design, develop, and deploy GenAI Agentic and machine learning models, algorithms, and systems to tackle complex business challenges.

What You'll Be Doing:

• Design, develop, and deploy GenAI Agentic and machine learning models, algorithms, and systems to tackle complex business challenges.
• Provide technical leadership and mentorship, supporting junior engineers and data scientists in best practices and advanced techniques.
• Stay abreast of the latest AI, Agentic AI, and machine learning advancements, applying them to enhance existing systems or develop innovative solutions.
• Collaborate with program and product managers, software engineers, and stakeholders to define requirements and create technical specifications for AI solutions.
• Conduct data analysis, preprocessing, and feature engineering to prepare datasets for machine learning models.
• Train, validate, and fine-tune machine learning models to meet performance and accuracy benchmarks.
• Deploy AI models into production environments, monitoring and optimizing their performance.
• Document models, algorithms, and methodologies to ensure reproducibility and facilitate knowledge sharing.
• Ensure all AI solutions comply with ethical guidelines, data privacy regulations, and industry standards.

The Impact You Will Have:

• Accelerate innovation in AI-driven products and solutions, directly influencing Synopsys' technological leadership.
• Enhance operational efficiency and decision-making through intelligent automation and data-driven insights.
• Drive adoption of Agentic AI systems, enabling transformative business outcomes across multiple domains.
• Mentor and elevate the technical capabilities of the engineering and data science teams, fostering a culture of excellence.
• Champion ethical AI practices, ensuring responsible development and deployment of cutting-edge technologies.
• Support cross-functional collaboration, bridging the gap between technical and business teams for successful project delivery.
• Contribute to the advancement of semiconductor IPs and EDA tool integration with AI, expanding Synopsys' product portfolio.

What You'll Need:

• Ph.D. or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related field.
• Minimum 8 years of experience in software engineering, machine learning, and GenAI, with a proven track record in production deployments.
• Strong proficiency in Python; familiarity with backend and distributed systems, message queues, and orchestration technologies is a plus.
• Expertise in data structures, algorithms, and design patterns for scalable AI solutions.
• Extensive experience with machine learning and Agentic frameworks (e.g., TensorFlow, PyTorch, LangChain/LangGraph, AutoGen) and LLM models.
• Strong grasp of statistical analysis, data mining, and data visualization techniques.
• Knowledge of cloud platforms, containerization (Kubernetes, Docker), and version control systems (Git, P4).
• Familiarity with Agile, Kanban, or Scrum methodologies.
• Understanding or experience with semiconductor IPs and EDA tools is highly desirable.

Who You Are:

• Exceptional problem-solving and analytical abilities, with a strategic mindset.
• Strong communication and interpersonal skills to engage diverse audiences.
• Ability to work independently and collaboratively within multidisciplinary teams.
• Demonstrated leadership and mentorship capabilities.
• Adaptable, proactive, and eager to continuously learn and innovate.

The Team You’ll Be A Part Of:

You will join a dynamic, collaborative group of professionals dedicated to advancing AI and GenAI solutions for diverse projects. The team values innovation, knowledge sharing, and continuous improvement, working closely with product managers, engineers, and stakeholders to deliver impactful AI-powered systems. You will play a key role in mentoring, technical leadership, and driving the evolution of Synopsys’ AI initiatives.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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