The AI Architect leads AI strategy and implementation, designing systems, managing teams, and driving business value through AI solutions in legal services.
About Us:
Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, we can provide strategic advantages to our clients by offering legal support services at every stage of their legal proceedings.
Job Description:
Job Title: AI Architect
Position Summary:
Magna Legal Services is seeking an AI Architect to join our team. The AI Architect is a senior technical and strategic leader responsible for driving Magna’s AI vision from concept to commercialization. This role blends deep technical expertise with product strategy, business partnership, and organizational leadership.
You will design and implement AI systems, lead development teams, guide enterprise AI architecture, and partner closely with executives and business stakeholders to identify opportunities, drive adoption, and deliver measurable value. The ideal candidate brings real-world experience deploying AI solutions at scale, with a strong understanding of both technical execution and business impact.
Experience in legal services, litigation support, medical records, insurance, or adjacent regulated industries is a significant plus.
Key Responsibilites
- AI Strategy & Architecture
- Define and own Magna’s AI systems architecture, including model selection, data infrastructure, orchestration, and deployment pipelines.
- Lead the design of scalable, secure, compliant AI solutions across the organization.
- Establish development standards, MLOps best practices, and governance frameworks for responsible AI.
- Hands-On Technical Leadership
- Architect, prototype, and deliver AI/ML applications — including summarization tools, document processing systems, scheduling automation, and proprietary medical/legal analysis products.
- Oversee model fine-tuning, prompt engineering, data pipelines, evaluation frameworks, and performance monitoring.
- Review and guide technical work across the AI engineering team.
- Business Partnership & Stakeholder Management
- Collaborate with executives, sales leaders, operations, and product teams to identify high-value AI opportunities.
- Translate business challenges into technical solutions with clear ROI and measurable outcomes.
- Communicate complex AI concepts in clear, accessible terms to non-technical stakeholders.
- Drive cross-departmental adoption of AI systems through training, change management, and solution evangelism.
- Team Leadership
- Manage, mentor, and grow an AI engineering team, providing career development, technical guidance, and performance oversight.
- Promote a culture of experimentation, accountability, and continuous learning.
- Collaborate with engineering, product, and data teams to ensure coordinated delivery.
- Execution & Delivery
- Lead end-to-end lifecycle of AI products, from ideation and scoping through deployment and iteration.
- Ensure solutions meet enterprise standards for security, data integrity, and privacy (HIPAA, PHI, PII, etc., as applicable).
- Measure business impact, track adoption, and ensure systems perform reliably at production scale.
Qualifications
- 8+ years of professional experience in AI/ML engineering, data science, or software architecture roles.
- Proven track record designing, deploying, and maintaining AI products in real-world production environments.
- Strong hands-on experience with modern AI stacks (LLMs, vector databases, embedding systems, orchestration frameworks, MLOps).
- Deep knowledge of cloud platforms (AWS, Azure, or GCP) and containerized environments.
- Experience leading engineering teams or technical programs.
- Ability to work closely with executives to shape strategy and communicate technical concepts clearly.
- Strong understanding of data governance, compliance, and security in regulated or sensitive data environments.
Preferred Qualifications
- Experience in legal tech, medical informatics, claims processing, or litigation support industries.
- Expertise in NLP, RAG systems, document analysis, entity extraction, or workflow automation.
- Knowledge of HIPAA, ABA rules, PHI handling, or other relevant compliance frameworks.
- Demonstrated success driving organization-wide adoption of AI solutions.
- Experience building AI products for external customers or marketplace deployment.
What We Offer
- A strategic role shaping the future of AI innovation at Magna Legal Services.
- Direct partnership with the CTO and senior leadership.
- Opportunity to lead cutting-edge development in legal and medical technology.
- Competitive compensation, benefits, and growth opportunities.
Compensation: USD $175,000 - $200,000 per year.
An employee’s pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, revenue-based metrics, any contractual agreements, and business or organizational needs. The range listed is just one component of the total compensation package for employees.
Magna Legal Services provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Top Skills
AI
AWS
Azure
Embedding Systems
GCP
Llms
Ml
Mlops
Orchestration Frameworks
Vector Databases
Similar Jobs
Big Data • Cloud • Hardware • Software • App development
The Technical Solution Architect will design architectures for AI-native solutions, lead technical engagements, and provide insights for presales and delivery success.
Top Skills:
AIAi Coding AssistantsAi FrameworksAWSAzureGCPMl
Aerospace • Energy
The Senior AI Architect will lead the development of scalable and secure AI solutions in the Supply Chain, working with various teams and mentoring talent while integrating cutting-edge generative AI technologies.
Top Skills:
AIAnthropic ClaudeGenerative AiGoogle Plam2LangchainLlama IndexLlama3LlmMeta Llama2MlOpenai Gpt 3.5Openai Gpt 4.0
Artificial Intelligence • Machine Learning • Professional Services • Business Intelligence • Big Data Analytics
As a Principal ML Architect, lead technical strategy and client engagements, mentor ML engineers, and oversee project lifecycle in delivering complex AI systems.
Top Skills:
AWSCatboostDockerFastapiGCPKubeflowLangchainLangfuseLanggraphLightgbmLlamaindexMlflowPythonTensorFlow
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory



