AI Architect - Senior AI Engineer

Role Description

We are currently seeking a AI Architect - Senior AI Engineer - Agentic Systems (Remote) to join our team in Plano, Texas (US-TX), United States (US).

Day to Day job Duties:

• Design and build agentic AI systems for multiple domains such as Healthcare, Finance, Retail, etc.
• Combine GenAI, ML, and systems engineering to create AI agents that interact with machines, data streams, and enterprise systems.

Key Responsibilities:

• Design and implement agent-based AI workflows for different domains such as:
• Healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
• Design agentic AI architectures for manufacturing workflows.
• Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents).
• Implement RAG over financial documents, policies, contracts, and filings.
• Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration).
• Develop classical ML models (risk scoring, prediction, clustering, anomaly detection).
• Implement HIPAA aware AI architectures with auditability and traceability.
• Implement GenAI systems using RAG over CRM, customer data, and content.
• Build full-stack applications (Python APIs, AI services, UI dashboards).
• Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred).
• Integrate LLMs with sensor data, MES, ERP, and IoT platforms.
• Collaborate with SMEs to translate medical workflows into agent logic.
• Deploy, monitor, and optimize AI systems in Azure.

Qualifications

• 8+ Years of strong experience in Python-based AI systems.
• 8+ Years of hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering).
• 8+ Years of experience with traditional ML (classification, regression, NLP, time-series).
• 5+ Years of full-stack experience (API design + UI integration).
• 5+ Years of Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS).
• 5+ Years of experience working in regulated or compliance-heavy domains.
• Comfortable working with subject-matter experts.
• Strong learning mindset and adaptability.
• Experience building production AI systems, not just prototypes.
• Ability to explain AI decisions to non-technical stakeholders.
• Interest in agentic AI and next-generation AI architectures.
• Degree: Bachelors in Computer Science or equivalent work experience.

Requirements

• Nice to Have: Multiple Domain exposure.
• AWS, GCP, or NVIDIA AI stack experience.
• Knowledge of model governance and explainability.
• Experience with document intelligence pipelines.

Benefits

• Starting pay range for this remote role is $122,648 - 283,906.
• Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.
• This position may also be eligible for incentive compensation based on individual and/or company performance.