AI Solutions Architect

Lancesoft, Inc.
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

HTML
JavaScript
.NET
Agile Methodologies
Artificial Intelligence
Audit Trail
Azure
C Sharp (Programming Language)
Continuous Integration
DevOps
Microsoft Office
Visual Basic
Scrum
Systems Development Life Cycle
Cloud Services
Azure
Web Services
Data Ingestion
Retrieval-Augmented Generation
Large Language Models
IT Architecture
GIT
AI Platforms
Information Technology
Gsuite
Virtual Agents

Job description

  • Lead the design and implementation of secure, scalable AI and Agentic AI solutions

  • Define end-to-end AI architectures including:

  • Data ingestion frameworks

  • RAG (Retrieval-Augmented Generation) pipelines

  • LLM orchestration

  • Human-in-the-loop workflows

Provide architectural documentation and technical leadership for approvals and governance

Ensure compliance with security, privacy, accessibility, and data-governance requirements (PII, HIPAA, CJIS where applicable)

Establish reference architectures and best practices for responsible and ethical AI

Evaluate and integrate AI platforms, cloud services, and vendor solutions

Design systems supporting explainability, auditability, bias mitigation, and transparency

Collaborate with DevOps, cybersecurity, and data teams to transition AI solutions from proof-of-concept to production

Support AI strategy, roadmap planning, and executive briefings

Requirements

This role requires strong architectural leadership, independent judgment, and the ability to design secure, scalable, and compliant AI solutions aligned with public-sector standards., * Bachelor's degree in Computer Science or related field

  • Strong experience in:

  • AI Architecture

  • Data Ingestion

  • RAG Pipelines

  • LLM Orchestration

  • Agentic AI and Azure OpenAI

Experience designing and implementing AI solutions from business and technical requirements

Proficiency in .NET (C#, VB.NET), HTML, JavaScript

Experience with automation tools (OCR, IDP, AI/ML platforms)

Strong documentation and technical specification development skills

Ability to analyze existing code and understand implementation

Excellent written and verbal communication skills

Ability to manage multiple priorities and changing requirements

Preferred Skills

  • Azure DevOps, Git, CI/CD pipelines
  • Experience with REST & SOAP APIs
  • Familiarity with MS Office, Google Suite, OnBase Unity Client
  • Experience with Agile methodologies (Scrum, Kanban, SAFe, Lean)
  • SDLC and ITIL process knowledge
  • Experience mentoring developers and promoting best practices

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