Back to jobs

Senior AI Platform Engineer

Remote

 

šŸ” About Us
At eLEND, weā€™re modernizing mortgage using a cloud-first, AI-driven approach to create faster, smarter, and more secure home financing experiences. Our environment is deeply integrated with Microsoftā€™s AI ecosystem, including Azure OpenAI, Semantic Kernel, Microsoft Fabric, and Azure AI Foundry. As we scale our AI capabilities, weā€™re building a production-grade agentic AI platform that will power intelligent automation, decisioning, and customer experiences across the lending lifecycle.

āœØ Why This Role Matters
As our first Senior AI Platform Engineer, youā€™ll take ownership of our agentic AI platform and drive it from proof-of-concept to enterprise-grade production system. This role will define the architecture, standards, and engineering practices for AI workloads across the company. Your work will directly enable intelligent automation in underwriting, document processing, compliance, and customer interactions, while ensuring governance, safety, and regulatory compliance in a highly regulated lending environment.

šŸ› ļø Key Responsibilities

  • Agentic Platform Architecture (Primary Focus)
  • Assess and extend our existing Semantic Kernel (C#) and Microsoft 365 Agents SDK implementation and define target-state architecture
  • Design and implement multi-agent orchestration pipelines, including planning, memory/state management, tool usage, routing, and inter-agent communication
  • Establish engineering standards for agent lifecycle management, including registration, discovery, monitoring, and scaling
  • Implement guardrails, safety controls, fallback logic, and human-in-the-loop escalation workflows
  • Build intelligent agents supporting lending workflows such as document intake, underwriting decision support, compliance validation, and customer communication
  • Azure AI & Model Integration
  • Expand Azure AI Foundry integration for model deployment, prompt lifecycle management, and evaluation pipelines
  • Integrate Azure OpenAI models (GPT-4o, GPT-4 Turbo, o-series, embeddings) into agent workflows with focus on performance, quality, and cost optimization
  • Build and optimize Retrieval Augmented Generation (RAG) pipelines using Azure AI Search, vector databases, and hybrid retrieval strategies
  • Design Graph-based RAG architectures to support regulatory knowledge graphs, compliance validation, and entity resolution
  • Evaluate and implement models for document understanding, classification, summarization, and conversational interfaces
  • Document Intelligence & Data Platform
  • Develop production pipelines using Azure AI Document Intelligence to extract, classify, and validate lending documents
  • Design orchestration workflows combining document intelligence and LLM reasoning for multi-document analysis
  • Expand Microsoft Fabric integration to support unified data lakehouse architecture for AI workloads
  • Build embedding pipelines, feature stores, and data preparation workflows to support intelligent agent decisioning
  • Implement telemetry, monitoring, logging, and observability for AI performance, cost, and reliability
  • Governance, Safety & Compliance
  • Implement Microsoft Purview for data governance, lineage tracking, and sensitivity labeling
  • Design and enforce content safety policies using Azure AI Content Safety
  • Build AI guardrails including hallucination detection, grounding validation, prompt injection defense, and output filtering
  • Establish model governance processes including versioning, evaluation, A/B testing, rollback, and audit trails
  • Ensure AI platform compliance with lending and financial regulations including ECOA, FCRA, TILA, RESPA, and fair lending requirements
  • Security, Engineering & Platform Leadership
  • Define engineering patterns, architecture standards, and best practices for AI platform development
  • Contribute to hiring strategy, platform roadmap, and long-term AI engineering maturity
  • Collaborate cross-functionally with engineering, compliance, data, and business stakeholders
  • Contribute hands-on engineering across platform components, infrastructure, and orchestration workflows
  • šŸŽÆ What You Bring
  • Required
  • 7+ years of software engineering experience, including 2+ years building AI/ML or LLM-based systems
  • Hands-on experience building production AI platforms, agent orchestration systems, or multi-agent workflows
  • Experience with agent frameworks such as Semantic Kernel, Microsoft 365 Agents SDK, LangChain, LangGraph, AutoGen, or CrewAI
  • Strong experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, or equivalent cloud AI platforms
  • Production experience designing and implementing RAG pipelines and vector-based retrieval systems
  • Strong programming skills in C#/.NET and/or Python
  • Experience implementing AI guardrails, safety controls, and responsible AI practices
  • Strong architectural thinking and ability to move systems from POC to production

Preferred

  • Experience in mortgage, lending, fintech, or regulated financial environments
  • Experience building Graph RAG or knowledge graph-driven AI systems
  • Familiarity with Microsoft Fabric, Purview, and enterprise data platforms
  • Experience with prompt engineering platforms, evaluation frameworks, or model lifecycle management
  • Experience implementing MLOps pipelines, model monitoring, and drift detection
  • Experience with agent-assisted development tools such as GitHub Copilot, Codex, or Cursor

šŸ“† Our Environment

  • Microsoft-first AI ecosystem (Azure OpenAI, Semantic Kernel, Azure AI Foundry, Microsoft Fabric)
  • Agentic AI platform currently in proof-of-concept phase moving toward production
  • Cloud-native architecture supporting enterprise AI workloads
  • Highly regulated lending environment requiring strong governance and compliance controls
  • Collaborative, fast-moving engineering culture building next-generation AI systems

šŸ’° Compensation & Benefits

  • $190k-$210K (commensurate with experience and platform ownership scope)
  • Comprehensive health, dental, and vision benefits
  • 401(k)
  • Generous PTO and paid holidays
  • Hybrid work environment with flexibility
  • Opportunity to build and own foundational AI platform architecture

šŸ“ Location
Hybrid preferred at our Parsippany campus (4 days in office / 1 remote)

šŸ¤ Interview Process
We keep things respectful and streamlined:

  • Phone Screen: 30 minutes with Talent to align on experience and role expectations
  • Technical Interview: Deep dive into architecture, AI platform design, and engineering experience
  • Engineering & Stakeholder Conversations: Collaborative discussions with technical and business partners
  • Final Conversation: Alignment on platform vision, ownership, and next steps

Typical timeline: 2ā€“3 weeks end-to-end

šŸŒˆ Equal Opportunity for All
We value diverse perspectives and are committed to building an inclusive environment. We make hiring decisions based on talent, experience, and potential.

šŸ’¬ Ready to Join Us?
If youā€™re excited to build and own a next-generation agentic AI platform and shape the future of intelligent lending systems, weā€™d love to hear from you.

 

Create a Job Alert

Interested in building your career at eLEND? Get future opportunities sent straight to your email.

Apply for this job

*

indicates a required field

Resume/CV

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

Select...
Select...
Select...
Select...
Select...

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in eLENDā€™s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Select...
Select...
Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Select...

Voluntary Self-Identification of Disability

Form CC-305
Page 1 of 1
OMB Control Number 1250-0005
Expires 04/30/2026

Why are you being asked to complete this form?

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Laborā€™s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

A disability is a condition that substantially limits one or more of your ā€œmajor life activities.ā€ If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:

  • Alcohol or other substance use disorder (not currently using drugs illegally)
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
  • Blind or low vision
  • Cancer (past or present)
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or serious difficulty hearing
  • Diabetes
  • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
  • Epilepsy or other seizure disorder
  • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
  • Intellectual or developmental disability
  • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
  • Missing limbs or partially missing limbs
  • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
  • Nervous system condition, for example, migraine headaches, Parkinsonā€™s disease, multiple sclerosis (MS)
  • Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
  • Partial or complete paralysis (any cause)
  • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
  • Short stature (dwarfism)
  • Traumatic brain injury
Select...

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.