{"id":2225696,"url":"https://alion.io/job/cummins-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":1758413,"name":"Cummins","domain":"cummins.com","url":"https://alion.io/company/cummins-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":92,"open_postings":27,"ghost_share":0,"stale_share":0.519,"repost_share":0,"time_to_fill_p50_days":7,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Hugging Face","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Spark","optional":false},{"name":"Fine-tuning","optional":true},{"name":"JavaScript","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"MLFlow","optional":true},{"name":"Neo4j","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-10T14:53:00Z","employer_posted_date":"2026-10-10","last_verified_at":"2026-10-11T19:14:01Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Summary:\n Responsible for building high-quality, innovative and fully performing software in compliance with coding standards and technical design. Design, modify, develop, write and implement software programming applications. Support and/or install software applications. Key participant in the testing process through test review and analysis, test witnessing and certification of software.Key Responsibilities:\nDevelop software solutions by studying information needs; conferring with users; studying systems flow, data usage and work processes; investigating problem areas; following the software development lifecycle; Document and demonstrate solutions; Develops flow charts, layouts and documentation Determine feasibility by evaluating analysis, problem definition, requirements, solution development and proposed solutions; Understand business needs and know how to create the tools to manage them Prepare and install solutions by determining and designing system specifications, standards and programming Recommend state-of-the-art development tools, programming techniques and computing equipment; participate in educational opportunities; read professional publications; maintain personal networks; participate in professional organizations; remain passionate about great technologies, especially open source Provide information by collecting, analyzing, and summarizing development and issues while protecting IT assets by keeping information confidential; Improve applications by conducting systems analysis recommending changes in policies and procedures Define applications and their interfaces, allocate responsibilities to applications, understand solution deployment, and communicate requirements for interactions with solution context, define Nonfunctional Requirements (NFRs) Understands multiple architectures and how to apply architecture to solutions; understands programming and testing standards; understands industry standards for traditional and agile development Provide oversight and foster Built-In Quality and Team and Technical Agility; Adopt new mindsets and habits in how people approach their work while supporting decentralized decision making. Competencies: Security & Compliance Principles - Applies standards, tools, and best practices to embed security, privacy, and compliance into the design/build/test/operate lifecycle for products, services, apps, systems, software, and configurations-balancing protection, efficiency, and cost.Programming Principles - Applies programming languages, frameworks, and patterns to design, write, configure, test, and maintain software/solutions/systems that are efficient, secure, scalable, and reliable.\nData Principles - Governs, models, secures, implements, and observes data flows to ensure integrity, quality, and compliance-enabling trusted, scalable, cost-conscious data use.\nModern Development Practices - Applies modern engineering practices and tools-such as Agile/DevSecOps, CI/CD, automated testing, and infrastructure as code-to accelerate delivery, improve quality, and reduce risk across the SDLC.\nSolution Design - Translate business requirements into integrated designs, architectures, patterns, and system interactions that deliver customer value and align with enterprise standards and subject-matter platforms.\nDemonstrating Mastery - Maintains essential knowledge and proficiency in relevant domains, tools, technologies, methodologies, or frameworks through targeted credentials and rigorous proficiency, future-proofing organizational skills against strategic needs.\nStrategic and Innovative Thinking - Evaluates business and technology trends, anticipates future needs, develops creative approaches, and frames innovations to shape strategy and create durable value with cost-aware innovation.\nTechnical Passion & Drive - Models curiosity and excitement for technology by self-initiating continuous development, experimenting with emerging technologies, and identifying insertion opportunities that accelerate business performance.\nDriving Effective Outcomes - Takes ownership, acts with urgency, and initiates action to turn goals into clear plans, decisions, guardrails, and cadences while navigating ambiguity and change to drive momentum and deliver consistent results.\nEngaging with Impact - Communicates with clarity and purpose to align stakeholders, foster collaboration, build trust, and influence coordinated action across teams and functions to accelerate outcomes.\nValues Differences - Recognizing the value that different perspectives and cultures bring to an organization.\nEnsuring Customer Success - Embraces a customer-first mindset to deliver outcomes by linking customer needs and business priorities to aligned solutions, delivery, adoption, satisfaction, and realized value through sustained engagement that builds partnership and trust.\nEducation, Licenses, Certifications: College, university, or equivalent degree in Computer Science, Engineering, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations.\nExperience: Experience working as a software engineer with the following knowledge and experiences are preferred:\n- Working in Agile environments;\n- Fundamental IT technical skill sets;\n- Taking a system from coping requirements through actual launch of the system;\n- Communicating with users, other technical teams and management to collect requirements, identify tasks, provide estimates and meet production deadlines;\n- Professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing and operations. \nRole Summary: The AI Engineer will design, build, validate, and deploy AI-enabled solutions that help Cummins teams convert complex operating, product, engineering, and business data into practical recommendations and intelligent workflows. This role will work closely with product owners, data scientists, data engineers, architects, and business stakeholders to deliver reusable AI capabilities across the Analytics and AI portfolio.\nSkills\nStrong analytical thinking and problem-solving skills with the ability to design AI solutions for complex business and technical challenges.\nAbility to bridge software engineering fundamentals with modern AI/GenAI technologies to deliver production-ready solutions.\nEffective communication skills with the ability to explain AI concepts, architecture decisions, and technical recommendations to both technical and non-technical stakeholders.\nCustomer-focused mindset with the ability to understand business problems and translate them into scalable AI applications.\nStrong technical leadership, mentoring, and decision-making capabilities in fast-paced and evolving technology environments.\n\nTechnical Skills\nAI Engineering & Generative AIStrong experience building, deploying, and maintaining AI-powered applications and intelligent agents.\nExpertise in Large Language Model (LLM) application development and Generative AI solution design.\nExperience developing agentic AI workflows, multi-agent systems, and AI orchestration frameworks.\nKnowledge of prompt engineering, agent evaluation, guardrails, grounding techniques, and AI application observability.\nFamiliarity with Retrieval-Augmented Generation (RAG), semantic search, vector databases, and knowledge management architectures.\n\nOpen Source AI FrameworksHands-on experience with modern AI orchestration frameworks including LangGraph, LangChain, LlamaIndex Hugging Face, Open-Source LLM ecosystems\nExperience integrating both commercial and open-source foundation models.\nKnowledge of model serving, inference optimization, and AI workflow orchestration patterns.\n\nSoftware Engineering & Application DevelopmentStrong proficiency in Python with experience building production-grade applications and APIs.\nExperience with modern software engineering practices including object-oriented design, design patterns, testing, and secure coding principles.\nExperience developing REST APIs, microservices, and event-driven architectures.\nFamiliarity with front-end technologies such as React, Angular, or similar frameworks for AI application development.\nUnderstanding of distributed systems and scalable application architecture.\n\nData Engineering & AI PlatformsExperience working with Azure Databricks, Spark, and modern data platforms supporting AI workloads.\nStrong understanding of data pipelines, feature engineering, and data preparation for AI applications.\nExperience integrating enterprise data sources, structured and unstructured datasets, and knowledge repositories.\nFamiliarity with vector databases and embedding-based retrieval architectures.\nUnderstanding of modern data lake, warehouse, and lakehouse architectures.\n\nCloud, DevOps & MLOpsStrong experience with Azure cloud services supporting AI workloads, including:Azure AI Services\nAzure OpenAI\nAzure Databricks\nAzure Functions\nAzure Kubernetes Service (AKS)\nAzure Storage and Data Services\n\nExperience with Docker, Kubernetes, and cloud-native application deployment.\nFamiliarity with MLOps and LLMOps practices including model lifecycle management, monitoring, and continuous deployment.\nExperience implementing CI/CD pipelines using Git, Azure DevOps, Jenkins, or equivalent platforms.\nKnowledge of AI governance, security, responsible AI, and compliance practices.\n\nAI Solution ArchitectureExperience designing enterprise-scale AI platforms and reusable AI services.\nAbility to evaluate AI technologies and recommend architecture patterns aligned with business objectives.\nKnowledge of AI system performance optimization, scalability, reliability, and operational excellence.\nExperience establishing engineering standards, reusable frameworks, and best practices for AI solution delivery.\n\nExperience\nMinimum 8+ years of hands-on experience in Software Engineering, Full Stack Development, Platform Engineering, Data Engineering, or related technical fields.\nMinimum 3+ years of experience designing, developing, or deploying AI, Machine Learning, or Generative AI solutions.\nDemonstrated success transitioning enterprise applications from traditional software architectures to AI-enabled solutions.\nProven experience building and deploying scalable production applications in cloud environments.\nExperience integrating AI capabilities into business applications, workflows, and enterprise platforms.\nExperience working with modern AI frameworks, LLMs, and agent-based application architectures.\nExperience operating within Agile software development environments.\nExperience collaborating with product managers, data scientists, architects, and business stakeholders to deliver innovative solutions.\nProven ability to lead technical initiatives and mentor engineering teams.\nNice to Have\nExperience fine-tuning, evaluating, or optimizing open-source models.\nExperience with Databricks Mosaic AI, MLflow, or other enterprise AI development platforms.\nKnowledge of advanced AI techniques such as multi-agent systems, AI workflow orchestration, and autonomous agents.\nExperience with graph databases such as Neo4j and knowledge graph implementations.\nFamiliarity with Deep Learning frameworks including PyTorch and TensorFlow.\nExperience building enterprise Copilots and conversational AI solutions.\nAzure AI Engineer Associate, Azure Developer Associate, Databricks, or equivalent cloud certifications.\nUnderstanding of Responsible AI, AI governance, and enterprise compliance requirements.\nCompetencies\nArtificial Intelligence & Generative AI\nSoftware Engineering Excellence\nCloud & AI Platform Architecture\nProblem Solving\nCommunicates 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