Solution Architect AI Platform & GenAI Integration (Mythos Foundation)
Job Description
Job DescriptionJob Title: Solution Architect – AI Platform & GenAI Integration (Mythos Foundation)Location: Remote (Within USA)Hire Type: ContractPay Range: Competitive Hourly RateWork Model: Remote with periodic travel to Buffalo, NYSchedule: Monday – Friday, Standard Business HoursRecruiter Contact: Samantha Marranca | 716-256-1271 | smarranca@imaginestaffing.netNO C2C, NO sponsorship given at this timeNature & Scope:Positional OverviewOur client is seeking an experienced Solution Architect to support the implementation and evolution of its enterprise AI platform, Mythos. This role serves as the technical bridge between Enterprise Architecture and Engineering, translating high-level AI platform strategy into detailed solution designs that enable secure, scalable, and governed AI adoption across the organization.The Solution Architect will partner closely with engineering teams throughout the software development lifecycle, providing architecture guidance, design oversight, and implementation support for AI platform capabilities including model integration, APIs, telemetry, observability, security controls, and embedded AI functionality within enterprise applications.This position is ideal for a hands-on architect who combines deep technical expertise with strong collaboration skills and enjoys helping organizations operationalize Generative AI and enterprise AI platforms.Role & Responsibility:Tasks That Will Lead To Your SuccessAI Platform Architecture & Design
- Translate enterprise AI platform architecture into detailed technical solution designs.
- Design and document scalable, secure, and maintainable AI platform capabilities.
- Develop architecture guidance supporting model integration, model lifecycle management, and enterprise AI adoption.
- Define architecture patterns for embedding AI capabilities into business applications.
- Establish reusable integration patterns and implementation frameworks for AI services.
- Support platform scalability, performance, operational readiness, and security objectives.
Model Integration & Governance
- Provide architecture guidance for model access, execution, and lifecycle integration.
- Support implementation of Small Language Model (SLM) and Large Language Model (LLM) deployment patterns.
- Translate model selection frameworks into actionable design guidance.
- Ensure AI solutions align with governance, risk, compliance, and operational requirements.
- Support implementation of guardrails, policy controls, and responsible AI practices.
Telemetry, Observability & Security
- Design telemetry and monitoring frameworks for AI platform services.
- Support implementation of observability solutions that provide visibility into model usage, performance, and risk indicators.
- Establish architecture standards for telemetry collection and reporting.
- Apply secure engineering principles throughout the solution lifecycle.
- Support threat modeling, vulnerability mitigation, and secure platform design.
- Collaborate with security and risk teams to ensure compliance with enterprise standards.
Engineering Collaboration
- Partner closely with software engineering teams throughout the SDLC.
- Participate in architecture reviews, technical planning sessions, and Agile ceremonies.
- Provide technical guidance during implementation and deployment activities.
- Validate architecture decisions and ensure alignment with enterprise standards.
- Support troubleshooting and resolution of architecture-related challenges.
- Collaborate with Enterprise Architects, Platform Engineering, and SRE teams to continuously improve AI platform capabilities.
Skills & ExperienceQualifications That Will Help You ThriveRequired Experience
- Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related discipline.
- 5+ years of Solution Architecture, Application Architecture, or Software Engineering experience.
- Experience designing and integrating enterprise applications and APIs.
- Experience supporting cloud-based platforms and distributed systems.
- Strong understanding of software architecture principles and design patterns.
- Experience working within Agile development environments.
- Ability to communicate effectively with both technical and business stakeholders.
- Strong analytical and problem-solving skills.
Preferred Qualifications
- Experience supporting Generative AI, AI Platform, or Machine Learning initiatives.
- Familiarity with Azure AI Foundry, Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic Claude, or similar technologies.
- Experience with AI governance, model security, telemetry, and guardrail implementation.
- Knowledge of MLOps, AI lifecycle management, and observability frameworks.
- Cloud certifications within Azure, AWS, or Google Cloud.
- Experience within financial services or other highly regulated industries.
- Understanding of secure software development practices and threat modeling.
Team & EnvironmentWorks closely with Enterprise Architecture, Engineering, Platform Engineering, Security, and SRE teams.Serves as a key technical advisor supporting AI platform implementation efforts.Operates within a highly collaborative Agile environment.Significant exposure to enterprise-wide AI initiatives and emerging technologies.Work Schedule & TravelSchedule
- Monday – Friday
- Standard business hours
- Flexible remote work environment
Travel
- Occasional travel to Buffalo, NY
- Approximately every 4–6 weeks as required
Compensation & Benefits
- Competitive hourly compensation
- Long-term contract engagement
- Remote work flexibility
- Opportunity to influence enterprise-wide AI strategy and adoption
Why Join This Opportunity?This is an exciting opportunity to work at the forefront of enterprise AI transformation. The successful candidate will help translate strategic AI platform architecture into real-world business capabilities while partnering with engineering teams to deliver secure, scalable, and impactful AI solutions across the enterprise.