Job description
Position Summary:
The AI Engineer is responsible for design, build, and deploy innovative AI-powered products and productivity solutions. This role is focused on turning business ideas into real-world applications using off-the-shelf platforms, Azure/AWS components, and modern AI frameworks. This role works in close partnership with the Enterprise AI Solutions Architect, software development engineering teams, and data engineering teams to bridge the execute and implement enterprise solutions using AI technologies. The ideal candidate is a software builder, who thrives on creating scalable, user-facing solutions using the latest in GenAI, CoPilot, and enterprise AI tools. The role will play a key role in shaping how AI is used across the organization, from internal productivity enhancements to customer-facing services.
Key Responsibilities
- Collaborate with business stakeholders to translate ideas into AI-powered products and services.
- Build and deploy enterprise-ready AI solutions using LLMs, semantic search, text-to-SQL, and other GenAI capabilities.
- Implement productivity solutions using Microsoft CoPilot, Office AI tools, and other enterprise platforms.
- Rapidly prototype and iterate on AI applications using Azure, AWS, and off-the-shelf tools.
- Partner with the AI Solutions Architect to ensure scalable, secure, and compliant system design.
- Develop APIs and lightweight UIs (e.g., Streamlit, FastAPI, Snowflake Cortex) to deliver AI tools to end users.
- Stay current on emerging AI technologies, including vector databases, RAG pipelines, and productivity AI platforms.
- Drive delivery of AI components aligned with product roadmaps and business priorities.
Core Technical Environment
- Data & Cloud: Snowflake (Cortex AI), Azure, AWS, Google Cloud
- ML/AI Frameworks: TensorFlow, PyTorch, Scikit-learn, MLflow, Hugging Face
- LLMs & NLP: Llama, Mixtral, RekaCore, Snowflake (Cortex AI), LangChain, MCP
- CV: YOLOv5 for image/video object detection (as applicable)
- UI & Deployment: Streamlit, FastAPI, Flask
- Semantic Search & Text2SQL: Cortex Analyst, vector DBs (e.g., Weaviate, Qdrant)
- MLOps: GitHub Actions, CI/CD, containerization, pipeline orchestration
Qualifications:
Education
- Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field.
Work Experience:
- 3+ years of hands-on experience in machine learning engineering or AI solution delivery.
- Proven experience building and operationalizing models at scale using structured and unstructured data.
- Experience working with Agile (SAFe) teams, iterative delivery cycles, and DevOps practices.
- Prior success in deploying GenAI or LLM-based applications in enterprise or healthcare settings is a strong asset.
- Experience working within a clinical regulated industry, and developing CRF Part11 compliant solutions
- Experience with Microsoft 365 CoPilot, Office AI tools, or similar productivity AI platforms
- Technical Stack and Tools:
- Cloud platforms and services (Azure, AWS)
- Data platform architecture using Snowflake
- Experience integrating knowledge graphs (e.g., Neo4j, RDF/SPARQL, AWS Neptune) into AI pipelines for semantic reasoning and structured context
Skills & Competencies
- Ability to convert experimental models into high-performing, reliable production services.
- Strong software engineering fundamentals, with a focus on model observability, testing, and automation.
- Clear communicator who can distill technical detail for non-technical stakeholders.
- Agile mindset with comfort in fast-paced, iterative environments.
- Deep appreciation for data privacy, bias mitigation, and responsible AI practices. Commitment to ethical AI development and AI governance principles.
Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.
Reasonable estimate of the current range
$133,900—$200,900 USD
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Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at [email protected].
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.
