Note: The job is a remote job and is open to candidates in USA. MHC is a global provider of AI-powered SaaS solutions for document, communication, and payment automation serving highly regulated industries. The Lead, Data & AI Engineering role will own the company’s data platform and build AI- and LLM-powered product capabilities while remaining hands-on in engineering and leading a team of data and AI engineers.
Responsibilities
- Architect. Design and build MHC's core data platform: ingestion, transformation, storage, and serving layers across batch and streaming workloads
- Model. Model data for both analytics and product use cases, creating clean, well-documented, reusable datasets and a semantic layer the whole company can trust
- Govern. Establish data quality, lineage, observability, and governance practices so data is reliable, discoverable, and secure
- Pipe. Build the pipelines and feature/embedding stores that feed analytics, ML, and LLM applications
- Mine. Turn raw operational and document data into intelligence: metrics, signals, predictions, and document understanding that powers decisions and product features
- Apply AI. Build and evaluate models and retrieval systems (including RAG over documents) that extract, classify, summarize, and reason over MHC's data
- Productize. Partner with Product to design and ship LLM-powered features from prototype to production with appropriate guardrails, evaluation, and cost controls
- Manage. Manage, mentor, and grow a team of 2–4 data and AI engineers; set goals, give feedback, and develop careers
- Direct. Set technical standards and a pragmatic roadmap for data and AI; make build-vs-buy decisions and balance speed with long-term maintainability
- Partner. Collaborate across Product, Engineering, and business stakeholders to align the data and AI roadmap with company priorities
- Contribute. Stay hands-on: review code and designs, prototype hard problems, and set the bar for engineering quality
Skills
- • Bachelor's degree in Computer Science, Information Security, or a related field or equivalent years of experience
- • 7+ years building data and/or backend systems in production, with recent hands-on experience in both data engineering and applied AI/ML
- • Proven ownership of a data platform: strong SQL and Python, and experience with modern data tooling (e.g., a cloud warehouse/lakehouse such as Snowflake, BigQuery, Databricks, or Redshift; transformation tools like dbt; and orchestration such as Airflow, Dagster, or Prefect)
- • Hands-on experience building production AI/ML features , including practical work with LLMs — prompting, retrieval-augmented generation (RAG), embeddings/vector search, evaluation, and integrating models via APIs (e.g., OpenAI, Anthropic) or open-source models
- • Solid software engineering fundamentals: data modeling, API design, testing, CI/CD, and building reliable systems on a major cloud (AWS, GCP, or Azure)
- • Experience leading or mentoring engineers: whether as a manager, tech lead, or senior IC ready to step into people management and a genuine interest in growing a team
- • Strong product sense and communication: able to translate ambiguous business problems into data and AI solutions, and explain trade-offs to technical and non-technical audiences
- This is a remote role. Candidates must be based in the United States
- This role is not eligible for visa sponsorship
- • Experience with document AI / intelligent document processing (OCR, extraction, classification) or NLP over unstructured text
- • Experience operating LLMs in production: evaluation/observability, prompt and cost optimization, fine-tuning, or agentic workflows
- • Background in B2B SaaS, document/process automation, fintech, or other data-heavy enterprise domains
- • Familiarity with data privacy, security, and compliance (e.g., SOC 2, GDPR) in a multi-tenant SaaS environment
- • Experience with streaming (Kafka/Kinesis), infrastructure-as-code, and MLOps/LLMOps tooling
Benefits
- Flexible, work-where-you-live model
- 401(k) Plan with deferred and Roth options, including an employer match of 50% up to a maximum of 4.5% of gross pay
- Medical plans with comprehensive co-pay or HSA coverage options
- Dental and vision plans with access to a large network of providers
- Daycare and Medical FSA/HSA plans for eligible daycare and healthcare expenses
- Group term life insurance coverage of $50,000
- Generous paid time off (PTO) policies
- Employee Assistance Program (EAP)
- Additional life insurance
- Critical illness insurance
- Accident, cancer, and hospital indemnity insurance
- Legal/ID Shield
- Pet insurance
- If your state offers a paid family or medical leave program, access to those benefits
- For employees in states without a state paid family or medical leave program: four weeks of paid paternity leave, available after one year of employment, with partial eligibility beginning at six months
- Twelve weeks of paid leave for the birth parent, eligibility rules apply
Company Overview