Careers

LRS is seeking an experienced AI Architect to lead the design, implementation, governance, and adoption of enterprise Artificial Intelligence (AI) solutions that support business objectives and digital transformation initiatives. This individual will play a key role in defining AI strategy, architecting scalable AI platforms, integrating AI capabilities into enterprise applications, and ensuring the secure and responsible use of emerging AI technologies across the organization.

LRS Consulting Services has been delivering the highest quality consultants to our clients since 1979. We've built a solid reputation for dealing with our clients and our consultants with honesty, integrity, and respect. We work hard every day to maintain that reputation, and we're very interested in candidates who can help us. If you're that candidate, this opportunity is made for you!

The ideal candidate will possess strong expertise in AI architecture, machine learning, generative AI, cloud technologies, data platforms, and enterprise system integration. This role will collaborate closely with executive leadership, business stakeholders, data engineering teams, application development teams, security teams, and IT leadership to design and deliver scalable AI solutions that drive innovation, operational efficiency, and business value.

Key Responsibilities

• Define and lead the enterprise AI architecture strategy, roadmap, standards, and best practices.
• Design scalable AI, machine learning, and generative AI solutions that align with business goals and technology strategies.
• Architect and oversee the implementation of AI platforms, data pipelines, model deployment frameworks, and AI-driven business applications.
• Evaluate and recommend AI technologies, frameworks, platforms, and cloud services.
• Develop enterprise AI governance frameworks, ensuring responsible, ethical, and secure use of AI solutions.
• Design and support integrations between AI platforms, enterprise applications, data warehouses, APIs, and business systems.
• Collaborate with business stakeholders to identify opportunities for AI-driven automation, analytics, and process optimization.
• Establish standards for AI model lifecycle management, monitoring, security, and performance optimization.
• Lead architecture reviews and provide technical guidance to development, engineering, and data science teams.
• Ensure AI solutions comply with enterprise security, privacy, risk management, and regulatory requirements.
• Develop proof-of-concepts, reference architectures, and technical roadmaps for AI initiatives.
• Evaluate emerging AI technologies and industry trends to identify opportunities for innovation.
• Create and maintain architecture documentation, technical standards, governance frameworks, and implementation guidelines.
• Support enterprise digital transformation initiatives involving AI, machine learning, automation, and advanced analytics.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or a related field, or equivalent professional experience.
• 7+ years of experience in software engineering, solution architecture, data architecture, or enterprise architecture roles.
• 3+ years of experience designing and implementing AI, machine learning, or advanced analytics solutions.
• Strong experience developing enterprise architecture strategies and technology roadmaps.
• Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent frameworks.
• Experience designing AI-enabled applications and enterprise integrations.
• Strong understanding of machine learning model development, deployment, monitoring, and governance.
• Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Experience with data architecture, data engineering, data governance, and enterprise data platforms.
• Strong knowledge of API-based architectures, microservices, and integration patterns.
• Understanding of AI security, privacy, compliance, and responsible AI practices.
• Strong analytical, problem-solving, and decision-making skills.
• Excellent communication and stakeholder engagement skills.

Preferred Qualifications

• Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Experience leading AI initiatives within the financial services, banking, insurance, or wealth management industries.
• Experience implementing AI solutions for underwriting, claims processing, fraud detection, risk analysis, customer service, or policy administration.
• Experience architecting enterprise AI solutions using Microsoft Azure AI Services, Azure OpenAI, Microsoft Copilot technologies, AWS AI, or Google AI platforms.
• Experience developing AI-powered chatbots, virtual assistants, knowledge management platforms, and intelligent automation solutions.
• Knowledge of insurance operations, regulatory requirements, and financial services business processes.
• Experience implementing MLOps, AI governance, and model risk management frameworks.
• Familiarity with compliance requirements such as SOX, PCI-DSS, HIPAA, NAIC, state insurance regulations, and data privacy standards.
• Experience supporting enterprise-scale digital transformation and modernization initiatives.
• Industry certifications related to cloud architecture, AI, machine learning, or enterprise architecture.

Technical Skills

• Artificial Intelligence & Machine Learning
• Artificial Intelligence (AI)
• Machine Learning (ML)
• Generative AI
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• AI Agents
• Natural Language Processing (NLP)
• Predictive Analytics
• Deep Learning
• AI Model Deployment
• Model Monitoring
• Model Governance
• Cloud & AI Platforms
• Microsoft Azure
• Azure AI Services
• Azure OpenAI
• Microsoft Copilot Technologies
• AWS AI Services
• Google Cloud AI
• Databricks
• Snowflake
• AI Platform Architecture
• Data & Analytics
• Data Architecture
• Data Engineering
• Data Governance
• Data Warehousing
• Data Lakes
• Business Intelligence
• Advanced Analytics
• Data Modeling
• Enterprise Data Platforms
• Integration & Development
• RESTful APIs
• Microservices
• Enterprise Integrations
• Python
• SQL
• JSON
• Web Services
• Event-Driven Architecture
• Application Modernization
• Governance & Security
• Responsible AI
• AI Governance
• AI Risk Management
• Data Privacy
• Information Security
• Compliance Management
• Security Architecture
• Enterprise Architecture
• Technology Governance

Preferred Competencies

• Strong communication skills with executive leadership, technical teams, and business stakeholders.
• Ability to translate complex business objectives into scalable AI solutions.
• Strong leadership and strategic planning capabilities.
• Experience building enterprise AI roadmaps and governance frameworks.
• Excellent analytical, problem-solving, and decision-making skills.
• Ability to evaluate emerging technologies and drive innovation initiatives.
• Experience operating in highly regulated industries such as financial services and insurance.
• Strong collaboration skills across business, technology, data, and security teams.
• Executive presence with the ability to influence organizational technology decisions.
• Strong customer-service mindset and focus on business value realization.
• Ability to thrive in a fast-paced enterprise environment.

The pay range for this contract position is $85.00 to $120.00 per hour, depending on experience, skills, education, and location. Compensation decisions are based on several factors, including relevant experience, technical expertise, certifications, and market considerations.

Additional Requirements

• Candidate must be able to effectively communicate in English, both verbally and in writing.
• Candidate must have permanent authorization to work in the United States for any employer. Sponsorship is not available for this position.

LRS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship status, protected veteran status, or any other characteristic protected by applicable law.

In some cases, LRS Consulting uses generative artificial intelligence (“AI”) in support of our hiring processes. LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions.

Colorado Pay Range:
85.00 - 120.00/per Hour