{"id":3981422,"url":"https://alion.io/job/kkr-lead-ai-engineer","title":"Lead AI Engineer","company":{"id":94572,"name":"KKR","domain":"kkr.com","url":"https://alion.io/company/kkr","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":91,"open_postings":31,"ghost_share":0,"stale_share":0.161,"repost_share":0,"time_to_fill_p50_days":80,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agno","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-09T17:51:40Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T19:53:07Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"COMPANY OVERVIEW\nKKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.\nABOUT THE ROLE\nWe are seeking an accomplished, hands-on Vice President, AI Engineer to design, build, and deploy enterprise-grade Generative AI, agentic AI, and machine learning solutions that drive meaningful business value across the firm.\nThe ideal candidate combines deep software engineering expertise with practical experience in modern AI architectures, large language models (LLMs), and cloud-native technologies. This individual will play a critical role in advancing our enterprise AI platform, developing reusable AI capabilities, and embedding intelligent automation into high-value investment and business workflows.\nSuccess in this role requires strong proficiency in Python, sound architectural judgment, and the ability to translate complex business requirements into secure, scalable, and production-ready AI solutions. We value engineers who are intellectually curious, highly collaborative, pragmatic in their approach, and passionate about hands-on development and continuous innovation.\nWHAT SUCCESS LOOKS LIKE \nThe successful candidate will be a hands-on engineer who can independently take complex AI initiatives from concept through production, delivering reliable solutions that are adopted by the business and generate measurable value.\nBeyond technical proficiency, we are looking for an individual who demonstrates strong ownership, sound engineering judgment, intellectual curiosity, and a collaborative mindset. This person will help shape the evolution of our enterprise AI capabilities while maintaining a strong focus on practical execution, operational excellence, and long-term scalability.\nRESPONSIBILITIES\nAI Engineering & Platform Development\nDesign, develop, and deploy enterprise-grade Generative AI and agentic AI solutions, emphasizing modularity, reusability, scalability, and measurable business impact.\nBuild and enhance core AI platform capabilities, including agent orchestration, tool integration, model abstraction, context management, and reusable AI services.\nDevelop sophisticated AI agents capable of reasoning, planning, tool execution, and automating complex, multi-step business workflows.\nEvaluate and integrate commercial and open-source LLMs, leveraging frameworks and protocols such as Agno, Model Context Protocol (MCP), and related technologies.\nEnterprise Knowledge & Data Integration\nArchitect and implement Retrieval-Augmented Generation (RAG) solutions, including document ingestion, parsing, chunking, embeddings, vector indexing, semantic search, and retrieval optimization.\nDevelop scalable document intelligence and information extraction capabilities for structured and unstructured enterprise content.\nIntegrate AI solutions with enterprise data platforms, databases, APIs, knowledge graphs, and internal business applications.\nBuild robust data pipelines and retrieval capabilities that enable AI agents to access and reason over enterprise knowledge securely and efficiently.\nCloud Architecture & Production Engineering\nArchitect and implement scalable, secure, resilient, and cost-efficient AI solutions utilizing AWS, Azure, GCP, and cloud-native technologies.\nDevelop production-quality Python services, APIs, and microservices, adhering to modern software engineering standards and best practices.\nImplement automated testing, CI/CD pipelines, deployment frameworks, and operational controls for AI applications and agents.\nEstablish application observability, including tracing, logging, performance monitoring, usage analytics, model evaluation, and cost optimization.\nContinuously improve AI solution quality, latency, reliability, and efficiency through systematic evaluation, experimentation, and performance tuning.\nBusiness Partnership & Technical Leadership\nPartner closely with investment professionals, business stakeholders, product managers, and technology teams to identify and deliver high-impact AI solutions.\nTranslate business challenges into pragmatic technical designs and production-ready implementations, balancing delivery speed with long-term architectural sustainability.\nContribute to architectural decisions, technical design reviews, code reviews, and engineering standards across the AI ecosystem.\nPromote responsible AI development, ensuring appropriate security, data privacy, access controls, governance, and human oversight.\nMentor junior engineers, share technical knowledge, and foster a culture of engineering excellence, experimentation, and continuous learning.\nQUALIFICATIONS \nRequired\nBachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.\n8+ years of professional software engineering experience, including meaningful hands-on experience developing and deploying AI/ML or Generative AI solutions in production.\nAdvanced proficiency in Python, with demonstrated experience building scalable backend services, APIs, and enterprise applications.\nHands-on experience developing LLM-powered applications, AI agents, tool integrations, and/or RAG-based solutions.\nStrong understanding of modern AI engineering concepts, including prompt engineering, embeddings, vector databases, semantic retrieval, agent orchestration, and model evaluation.\nPractical experience with cloud platforms such as AWS, Azure, or GCP, including containerization, cloud-native services, and distributed application architectures.\nSolid understanding of software engineering fundamentals, including object-oriented design, data structures, system architecture, automated testing, and CI/CD.\nProficiency with relational databases, SQL, REST APIs, and integration patterns; familiarity with NoSQL and vector databases.\nExperience designing, deploying, monitoring, and troubleshooting production systems with a strong emphasis on performance, security, reliability, and maintainability.\nExcellent analytical, problem-solving, and communication skills, with the ability to independently drive complex engineering initiatives and collaborate effectively across teams.\nPreferred\nExperience building multi-agent systems, autonomous workflows, or enterprise AI orchestration platforms.\nFamiliarity with modern AI frameworks and protocols, such as Agno, MCP, and agent-to-agent integration patterns.\nExperience implementing enterprise search, knowledge graphs, hybrid retrieval, reranking, and advanced RAG architectures.\nKnowledge of AI evaluation frameworks, observability, LLMOps/MLOps, model routing, and inference cost optimization.\nExperience with document intelligence, large-scale unstructured data processing, and multimodal AI capabilities.\nExperience working with financial or alternative investment datasets, financial documents, market data, and investment research workflows.\nUnderstanding of enterprise AI governance, data security, access control, and responsible AI practices.\nExperience mentoring engineers, conducting technical design reviews, and contributing to engineering architecture and best practices.\nKKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.\nKKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email . Emails sent for unrelated issues, such as following up on an application, will not receive a response.\nIf you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.kkr.com/careers because of your disability. You can request reasonable accommodations by sending an email to . Only emails left for this purpose will be returned.\nMassachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 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Docs: https://alion.io/developers"}}