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Meta Ai Jobs in Michigan (NOW HIRING)

Senior Engineer, AI

Novi, MI · On-site

$90.75 - $133.10/hr

Experience integrating with model providers and enterprise AI platforms such as Azure OpenAI, OpenAI, Anthropic, AWS Bedrock, Meta/Llama, Mistral, or similar services. * Experience with enterprise ...

Experience working with marketing data platforms (Adobe Analytics, Google Analytics, Meta, CRM systems, etc.) * Experience exposure with AI to augment coding work and an eagerness to continue to stay ...

Do you enjoy blending data, creativity, and hands-on execution as search evolves across Google, AI ... Execute on-page SEO by crafting compelling and optimized meta titles, meta descriptions, header ...

Meta, LinkedIn, and other social platforms * Email marketing and automation * Display and ... AI-search visibility and citation readiness Stay current with search engine changes, generative AI ...

OCI Architect

Troy, MI · On-site +1

AI / GenAI / Data Platform * OCI Generative AI Service: Cohere and Meta model endpoints, embedding models, semantic search patterns * OCI AI Agents: agent frameworks, tool configuration, RAG ...

Implement on-page SEO elements-including meta titles, descriptions, heading hierarchy, alt text ... AI-Assisted Workflow & Continuous Improvement * Actively use AI tools (e.g., generative AI ...

Implement on-page SEO elements-including meta titles, descriptions, heading hierarchy, alt text ... AI-Assisted Workflow & Continuous Improvement * Actively use AI tools (e.g., generative AI ...

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Showing results 1-20

Meta Ai information

What are the key skills and qualifications needed to thrive in the Meta AI position, and why are they important?

To thrive as a Meta AI Engineer, you need a solid background in computer science, machine learning, and data analysis, typically supported by a relevant degree and hands-on project experience. Familiarity with programming languages such as Python or C++, deep learning frameworks like PyTorch or TensorFlow, and industry certifications in AI or cloud platforms is highly valuable. Strong problem-solving abilities, collaboration, and a passion for continuous learning help individuals excel in fast-moving, innovative environments. These competencies are crucial for developing advanced AI models, integrating them into Meta’s products, and driving impactful technological advancements.

What are some common challenges faced by Meta AI engineers, and how can candidates best prepare to address them?

Meta AI Engineers often work on complex, large-scale projects that require balancing accuracy, performance, and ethical considerations. One common challenge is keeping up with rapidly evolving AI technologies while ensuring that new models integrate seamlessly into Meta’s global ecosystem. Successful candidates prepare by actively following advancements in machine learning, gaining experience with scalable systems, and working collaboratively in multidisciplinary teams. Demonstrating adaptability and a proactive approach to learning will help you tackle these challenges effectively and contribute to Meta's innovative AI initiatives.

How to work in Meta AI?

To work in Meta AI, candidates typically need a strong background in computer science, machine learning, or related fields, along with experience in AI development and programming languages like Python. The hiring process involves submitting an application through Meta's careers portal, completing technical interviews, and demonstrating relevant skills. Familiarity with AI tools, frameworks, and a collaborative environment are also important for success in Meta AI roles.

What is a Meta AI?

A Meta AI job typically involves working on artificial intelligence initiatives at Meta, the parent company of Facebook, Instagram, and WhatsApp. Roles in Meta AI span research, machine learning engineering, software development, and AI ethics, focusing on advancing AI technologies for Meta’s platforms. Employees may work on natural language processing, computer vision, or AI-driven user experiences. These positions require expertise in AI, data science, and software engineering.

What are the most commonly searched types of Meta Ai jobs in Michigan? The most popular types of Meta Ai jobs in Michigan are:
What are popular job titles related to Meta Ai jobs in Michigan? For Meta Ai jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Meta Ai jobs in Michigan look for? The top searched job categories for Meta Ai jobs in Michigan are:
What cities in Michigan are hiring for Meta Ai jobs? Cities in Michigan with the most Meta Ai job openings:
Infographic showing various Meta Ai job openings in Michigan as of August 2026, with employment types broken down into 75% Full Time, 19% Part Time, 1% Temporary, and 5% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution.

Senior Engineer, AI

SwiftCruit

Novi, MI • On-site

$90.75 - $133.10/hr

Other

Posted 5 days ago


Job description

Introduction: A Career at HARMAN Automotive

We’re a global, multi-disciplinary team that is 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
About the Role

As a Senior AI Engineer, you will help drive internal enterprise transformation through the design, development, and deployment of AI and generative AI solutions that improve business processes and deliver measurable value across enterprise business applications and functions. This role focuses on building practical, production‑ready capabilities that increase productivity, streamline workflows, and enable better decision‑making across domains such as engineering, software, HR, legal, procurement, and costing.

You will work hands‑on across the full solution lifecycle—from problem definition and prototyping to evaluation, deployment, and ongoing optimization—while contributing to enterprise data and AI initiatives that leverage Microsoft Fabric, the broader Microsoft ecosystem, and other modern cloud and data platforms. The primary focus remains on generative AI, LLMs, agentic workflows, retrieval‑augmented generation (RAG), and enterprise copilots, with an emphasis on responsible AI, governance, and scalable adoption.

What You Will Do
  • Design, build, and deploy AI and generative AI solutions that automate internal workflows and improve productivity across enterprise business applications and functions.
  • Deliver production‑ready internal copilots, assistants, and workflow accelerators for use cases such as knowledge search, document summarization, conversational analytics, intelligent recommendations, and process automation.
  • Partner with stakeholders across engineering, software, HR, legal, procurement, costing, and similar functions to identify high‑value opportunities and translate business needs into scalable AI solutions.
  • Build and support enterprise GenAI solutions using large language models, prompt engineering, agentic workflows, and RAG patterns over structured and unstructured enterprise data.
  • Contribute to enterprise data and AI initiatives using Microsoft Fabric and the broader Microsoft ecosystem, including Azure, Azure OpenAI, Power Platform, Copilot Studio, Microsoft 365, and other related platforms.
  • Architect and develop scalable data and AI pipelines that support retrieval, orchestration, evaluation, monitoring, and secure access to enterprise information.
  • Design and implement RAG pipelines across heterogeneous enterprise datasets, including requirements documents, business rules, lessons learned, operational content, knowledge bases, and other unstructured sources.
  • Select and apply effective chunking, embedding, vector search, reranking, and routing approaches to improve retrieval quality and user outcomes.
  • Develop agentic and tool‑using workflows using frameworks such as LangChain, LlamaIndex, MCP, and related orchestration patterns.
  • Evaluate model performance, prompt behavior, grounding quality, and workflow effectiveness using structured testing, human feedback, and measurable business outcomes.
  • Implement responsible AI practices including guardrails, content filtering, access controls, auditability, and governance aligned to enterprise standards.
  • Contribute to production readiness through observability, monitoring, cost awareness, performance tuning, and reliable deployment practices.
  • Build solutions and integrations using modern application stacks such as Python, Node.js, APIs, and web frameworks, with the ability to collaborate across platform, data, and application teams.
  • Work closely with business, platform, testing, validation, and delivery teams in a fast‑paced environment with strong communication, rapid iteration, and a process‑excellence mindset.
What You Need To Be Successful
  • 6+ years of experience building production software, data, or AI solutions, including hands‑on experience with machine learning systems and/or generative AI applications.
  • Strong hands‑on experience with Python and modern software engineering practices; working knowledge of Node.js and service‑oriented application development is a plus.
  • Experience building GenAI and LLM‑powered applications, including prompt engineering, RAG, evaluation, and agentic workflows.
  • Familiarity with frameworks and tooling such as LangChain, LlamaIndex, Transformers, PyTorch, TensorFlow, or similar ecosystems.
  • Experience integrating with model providers and enterprise AI platforms such as Azure OpenAI, OpenAI, Anthropic, AWS Bedrock, Meta/Llama, Mistral, or similar services.
  • Experience with enterprise data platforms and storage technologies, including SQL and NoSQL databases, search technologies, vector databases, and modern lakehouse or warehouse platforms.
  • Working knowledge of Microsoft Fabric and the broader Microsoft ecosystem, including Azure services, Power Platform, Copilot Studio, Microsoft 365 integrations, and enterprise data environments.
  • Familiarity with cloud and data engineering concepts across Azure, AWS, GCP, Databricks, Docker, Kubernetes, CI/CD, orchestration, and modern data pipelines.
  • Ability to work across structured and unstructured enterprise data to support AI use cases in internal business environments.
  • Understanding of operational excellence for AI systems, including monitoring, debugging, performance optimization, governance, security, and responsible AI practices.
  • Strong communication skills, product mindset, stakeholder collaboration, and the ability to operate effectively in cross‑functional enterprise transformation initiatives.
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, Data Science, or equivalent professional experience.
What Makes You Eligible
  • 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.
What We Offer
  • 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.
Pay Transparency

$ 90,750 – $ 133,100 per year. Dependent on the position offered, other forms of compensation such as bonuses or commission may also be available. Pay is based on a wide range of factors, including, without limitation, skill set, experience, training, location, and business need.

Equal Employment Opportunity

HARMAN is a proud Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (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. HARMAN is committed to providing reasonable accommodations to applicants with disabilities. If you need assistance or an accommodation during the application process, please contact harmancareers@harman.com. Requests will be considered on a case‑by‑case basis in accordance with applicable law.

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