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AI Architect

Roles & Responsibilities

  • 7+ years in software engineering with 3+ years architecting AI/ML systems in production (or equivalent).
  • Python for AI services and familiarity with .NET/C# for product integration and service contracts.
  • Proven delivery of training/inference pipelines on containers/Kubernetes with a major cloud (preferably Azure), including model lifecycle (selection/fine-tuning, versioning, deployment, rollback), CI/CD, observability, and guardrails for LLM/ML systems.
  • Strong communication skills to translate complex AI concepts into actionable roadmaps for technical and non-technical stakeholders.

Requirements:

  • Own end-to-end AI system architecture, including data flows, model development, training/inference pipelines, deployment strategies, and integration into .NET products.
  • Stand up and evolve LLMOps/MLOps foundations: model/asset registry, CI/CD, offline/online evaluation, observability, rollback/kill switches, and cost/performance controls.
  • Build Azure-first services and infrastructure (Azure ML, Azure OpenAI, AKS, Azure Functions, Storage, Key Vault) with governance (privacy, RBAC, auditability) and security/compliance partnerships.
  • Mentor engineers, drive design reviews and standards; translate complex AI concepts into actionable roadmaps and align infra with product needs to deliver measurable outcomes.

Job description

It's fun to work at a company where people truly believe in what they are doing!

Job Description:

Epiq is standing up a brand‑new AI Architecture function to design the platform, pipelines, and standards that power AI across Legal Solutions. This is a hands‑on role for a builder who ships production systems—not just theory. You’ll define the technical vision, establish LLMOps/MLOps practices, mentor engineers, and ensure solutions are secure, compliant, and reliable in a .NET product ecosystem with Python‑based AI services running on Azure.

What you’ll do

  • Own the AI system architecture end‑to‑end: data flows, model development, training/inference pipelines, deployment strategies, and integration into .NET products.
  • Stand up and evolve LLMOps/MLOps foundations: model/asset registry, CI/CD, evaluation (offline/online), observability, rollback/kill switches, and cost/performance controls.
  • Build Azure-first services and infrastructure (e.g., Azure ML, Azure OpenAI, AKS, Azure Functions, Azure Storage, Azure Key Vault), enabling secure, scalable AI in production.
  • Implement guardrails and governance (privacy, data handling, RBAC, auditability) and partner with Security/Legal to operationalize responsible AI.
  • Collaborate with product and engineering to identify high‑value use cases and deliver measurable outcomes, not just prototypes.
  • Mentor and influence engineers through design reviews, reference implementations, standards, and training.
  • Act as a conduit to IT/DevOps to align infra, networking, and platform reliability with product needs.
  • Translate complex AI concepts into actionable plans for business and technical audiences

What you’ll bring (must‑have)

  • 7+ years in software engineering with 3+ years architecting AI/ML systems in production (or equivalent experience).
  • Python for AI services and familiarity with .NET/C# for product integration and service contracts.
  • Proven delivery of training/inference pipelines on containers/Kubernetes with a major cloud (preferably Azure).
  • Hands‑on experience with model lifecycle (selection/fine‑tuning, versioning, deployment, rollback), CI/CDobservability, and evaluation/guardrails for LLM and ML systems.
  • Strong communication with the ability to translate complex concepts into actionable roadmaps for technical and non‑technical partners.

Bonus points (nice‑to‑have)

  • Azure ML registries/endpoints, Azure OpenAI, AKS, GitHub Actions/Azure DevOps; experience with mlflowAirflow/PrefectFeast/feature storesvector search (e.g., Azure AI Search, pgvector, Milvus, FAISS).
  • Data privacy/compliance background in regulated industries.
  • Deep SDLC/DevEx skills (templates, scaffolding, internal libraries, golden paths).
  • Understanding of MicroVM, Containerization/Kubernetes, Microservices.

#LI-KS1

The Compensation range for this role is 150,000 to 175,000 USD annually and may be eligible for an annual bonus.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Must be authorized to work in the United States for any employer. 

       

Your specific salary will be determined based on several factors:

  • Location-based market rate for the role

  • Your abilities in relation to the job specification

  • Performance during screening and interview

  • Pay parity with the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Click here to learn about Epiq's Benefits.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

It is Epiq’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request.  Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.

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