Principal Engineer - Finance AI Solutions
Harman
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Benefits offered by this job
Job summary
HARMAN is hiring for an AI Engineering leader to drive hands-on delivery of AI and Generative AI solutions for Finance. You will build AI agents, multi-agent systems, and copilots to automate workflows, with a focus on cost efficiency and responsible AI usage.
The role requires 8+ years in production software with ML, Python/Node.js proficiency, and experience with LLM stacks, LangChain, and cloud/infrastructure. Hybrid work from Novi, MI, with strong Finance partnership and governance focus.
Qualifications
- 8+ years building production software, incl. ML systems.
- Experience with LLMs, generative AI, and agent systems.
- Strong Python/Node.js skills and secure enterprise integrations.
Responsibilities
- Automate Finance workflows and deliver AI-enabled solutions.
- Design AI agents and multi-agent systems for enterprise tasks.
- Deliver copilots for knowledge search, summarization, and recommendations.
Skills
Education
Tools
Job description
We're a global, multi-disciplinary team that's putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.
- Engineer audio systems and integrated technology platforms that augment the driving experience
- Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
- Advance in-vehicle infotainment, safety, efficiency, and enjoyment
Drive hands-on delivery of AI and Generative AI solutions that help Finance teams streamline workflows, improve decision support, and deliver measurable business value. Success will be measured by hours saved, quality of user adoption, breadth of users served, responsible AI usage, and cost-efficient operation. This role is AI-first and finance-partnered: finance subject matter expertise will be provided by the Finance team, while the preferred candidate brings deep AI engineering capability and the ability to translate finance business problems into practical AI-enabled solutions.
- Automate high-impact Finance workflows for internal stakeholders, prioritizing initiatives with the greatest time savings, business value, and user reach.
- Partner with Finance subject matter experts to translate planning, reporting, analysis, controls, and operational challenges into AI-enabled solutions.
- Design and develop AI agents and multi-agent systems that solve enterprise-scale Finance challenges, including agent-to-agent communication, tool use, orchestration, and contextual handoffs.
- Deliver production-ready copilots and applications for knowledge search, document summarization, intelligent recommendations, conversational analytics, variance explanation, and end-to-end workflow automation.
- Evaluate, select, tune, deploy, and optimize small, open, or purpose-built language models where they can achieve the right business outcome at lower cost than large frontier models.
- Build and operate multi-model AI ecosystems where different agents, tools, retrieval systems, and models interact safely and reliably.
- Design and implement RAG pipelines over heterogeneous Finance and enterprise datasets, including policies, procedures, requirements documents, reports, business rules, lessons learned, and other unstructured content.
- Select embedding strategies, chunking approaches, vector search configurations, rerankers, and routing policies to maximize retrieval quality and business relevance.
- Implement guardrails, content policies, safety filters, prompt and version management, latency and throughput tuning, cost controls, load balancing, fallback strategies, and model-routing patterns.
- Define and implement governance frameworks for agent-based systems, secure information access, contextual access management, auditability, and responsible AI usage within Finance processes.
- Deploy AI solutions on cloud, local, server-based, or cost-efficient environments, evaluating tradeoffs between CPU, GPU, model architecture, latency, throughput, and commodity hardware strategies.
- Establish observability, evaluation frameworks, monitoring, model and data governance, and access controls appropriate for internal enterprise environments.
- Rapidly prototype AI solutions alongside Finance and platform teams, then mature successful prototypes into maintainable production systems.
- Teach, mentor, and coach Finance teams on AI technologies so AI capabilities are embedded within business teams rather than isolated in a separate engineering function.
- Build internal applications using Python, Node.js, and modern web technologies with REST or GraphQL backends, integrating securely with internal platforms and enterprise datasets.
- Collaborate closely with requirements, testing, validation, security, governance, and platform teams; communicate proactively and iterate quickly in a fast-paced environment.
- 8+ years of experience building production software, ideally including ML systems and hands-on work with LLMs and Generative AI.
- Strong expertise in AI agent development, multi-agent systems, tool-using agents, and agent orchestration; foundation model development experience is helpful but not required.
- Programming: Python (FastAPI, NumPy, Pandas, scikit-learn, Pydantic, Jinja2) and Node.js; strong proficiency with APIs, distributed systems, and secure enterprise integrations.
- LLMs and frameworks: Hands-on experience with at least one major deep learning or LLM stack, such as PyTorch/Transformers or TensorFlow/Keras, and orchestration frameworks such as LangChain or LlamaIndex.
- Agent and protocol experience: Familiarity with MCP, agent-to-agent communication patterns, agent memory, tool calling, workflow orchestration, and evaluation of agent behavior.
- Model strategy: Experience selecting, tuning, deploying, and optimizing small, open, or purpose-built language models to achieve business outcomes while managing infrastructure and inference costs.
- Model providers: Working familiarity connecting to inference providers such as AWS Bedrock, OpenAI, Anthropic, Meta/Llama, and Mistral model ecosystems.
- Data and storage: SQL and NoSQL databases such as PostgreSQL and DynamoDB, Elasticsearch for search and analytics, and vector databases such as Pinecone, Weaviate, FAISS, Milvus, and pgvector.
- Cloud and infrastructure: AWS (S3, EC2, Lambda, CloudWatch, Fargate, EKS/ECS), Azure, GCP, Databricks, Docker, Kubernetes, Terraform, CI/CD, Airflow, and Kafka.
- Cost-efficient AI infrastructure: Experience deploying AI solutions on local, server-based, or cost-optimized environments and evaluating CPU, GPU, model architecture, and commodity hardware tradeoffs.
- Operational excellence: Load balancing, monitoring and alerting, debugging production issues, evaluation frameworks, latency optimization, throughput optimization, and cost/performance management.
- Governance and security: Strong understanding of secure AI deployments, contextual access controls, data governance, responsible AI usage, and enterprise risk considerations.
- Data platforms: Experience building or maintaining data lakes, warehouses, or lakehouse environments such as Snowflake, Delta Lake, BigQuery, MS Fabric, or Databricks.
- Finance partnership: Ability to partner with Finance subject matter experts and translate business problems into AI-enabled solutions. Finance industry or finance systems exposure is preferred but not required.
- Team enablement: Strong communication skills, product-oriented thinking, coaching ability, and the capacity to help business teams understand the art of the possible with AI.
- Education: BS, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, or equivalent professional experience.
- Ability to work from an office in Novi, MI, 3+ days per week (hybrid)
- Successfully complete a background investigation and drug screen as a condition of employment.
- Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more).
- Extensive training opportunities through HARMAN University.
- Competitive wellness benefits.
- Tuition reimbursement.
- "Be Brilliant" employee recognition and rewards program.
- An inclusive and diverse work environment that fosters and encourages professional and personal development.
#Hybrid
$ 125,250 - $ 183,700
Dependent on the position offered, other forms of compensation are also available, such as bonuses or commission.
Pay is based on a wide range of factors, including, without limitation, skill set, experience, training, location, and business need. While the above range is a reasonable estimate of the wage range for this position, please note the disclosed range estimate has not been adjusted for the applicable geographical differential associated with the location where the position may be filled.
HARMAN is interested in the health and wellbeing of you and your family and offers a range of benefits designed to support your needs for holistic wellbeing. Benefits and perks may vary depending on the nature of your employment with HARMAN, and may include paid vacation and holidays, paid sick leave, volunteer leave, and paid bonding and care giver leave. Employees may also be eligible to participate in comprehensive medical, dental, and vision plans, fertility support and adoption assistance, Health Savings and Flexible Spending Accounts, retirement savings plan with employer match, short and long term disability coverage, life insurance, and more.
Ever since the 1920s, we've been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.
Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today's most sought-after performers, while our digital transformation solutions serve humanity by addressing the world's ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.
If you're ready to innovate and do work that makes a lasting impact, join our talent community today!
HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you - all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.
HARMAN is proud to be an Equal Opportunity employer. HARMAN strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. HARMAN attracts, hires, and develops employees based on merit, qualifications and job-related performance.(www.harman.com)
HARMAN is committed to providing reasonable accommodations to applicants with disabilities. If you need assistance or an accommodation during the application process, please contact us at harmancareers@harman.com. Requests will be considered on a case-by-case basis in accordance with applicable law.
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