What are the responsibilities and job description for the Technology & Architecture Manager position at Ledgent Technology?
Title: Technology Strategy & Architecture Manager
Job Type: Direct-hire
Location: Hybrid, Denver, CO or Dallas, TX
Salary Range: $150,000-$160,000
Summary
This leadership role is responsible for defining and driving the enterprise-wide technology vision, with a strong focus on AI and digital transformation initiatives. The position oversees architecture strategy across data platforms, AI ecosystems, and enterprise integrations, ensuring scalable, production-ready solutions.
The role operates across both strategic and hands-on domains-shaping long-term platform direction while also guiding implementation details. It involves designing a modern Azure-based AI environment, determining model and framework selection, and creating roadmaps that align technical capabilities with business objectives. Acting as a key advisor to executive leadership, this position translates complex technical strategies into measurable business outcomes.
Responsibilities
Technology Strategy & AI Leadership
- Establish and lead the long-term AI and technology roadmap, aligning initiatives with global business priorities and ROI goals.
- Evaluate and select AI models, frameworks, and orchestration tools based on performance, cost, scalability, and enterprise requirements.
- Provide executive-level guidance on technology investments, architecture decisions, and innovation strategies.
- Drive decisions on vendor selection, platform adoption, and build-versus-buy approaches.
Enterprise Architecture & Platform Strategy
- Design a scalable, end-to-end AI architecture within Azure, including services for AI, data storage, analytics, and search.
- Build a flexible multi-model orchestration layer supporting integration with various LLMs and SLMs.
- Define data architecture frameworks, including lakehouse design, governance, and semantic/vector search capabilities.
- Develop integration strategies connecting enterprise platforms such as ERP, HR systems, and collaboration tools using APIs and event-driven patterns.
- Set architecture standards, best practices, and governance guidelines for engineering teams.
Execution & Delivery Leadership
- Lead and mentor cross-functional technical resources responsible for infrastructure, automation, and integrations.
- Oversee the design and delivery of AI-driven solutions such as intelligent agents and document processing pipelines.
- Ensure consistent delivery of business value through phased implementation, focusing on quick wins and long-term scalability.
- Partner with collaboration and productivity initiatives to align AI capabilities across platforms like M365 and identity systems.
- Develop business cases that quantify efficiency gains, cost savings, and productivity improvements.
Skills
Required
- 10 years of experience in technology, including at least 4 years in architecture or strategic leadership roles across AI/ML, data platforms, or enterprise systems.
- Strong expertise in Azure services, including AI, data, and infrastructure components.
- Hands-on experience designing AI solutions such as RAG pipelines, agent-based systems, and multi-model orchestration.
- Deep understanding of data architecture, including lakehouse frameworks, data governance, and search technologies.
- Experience designing integrations across enterprise SaaS platforms (e.g., ERP, HR, or project management systems).
- Proficiency with identity and access management (SSO, OAuth, SCIM) and modern API architectures.
- Demonstrated ability to create and present strategic roadmaps and influence executive stakeholders.
- Experience leading teams and delivering complex, multi-stream initiatives with measurable business impact.
- Knowledge of enterprise security, compliance requirements, and governance practices.
Preferred
- Familiarity with M365 tools, including Teams, SharePoint, Graph API, and Copilot extensibility.
- Experience in industries such as construction, infrastructure, real estate, or utilities.
- Relevant Azure certifications (e.g., AZ-305, AI-102, DP-203, SC-300).
- Experience with MLOps, AI governance, and model lifecycle management.
- Exposure to integration platforms and document processing/OCR solutions.
All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.
Salary : $150,000 - $160,000