This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Agentic Solutions Architect in the United States.
This role sits at the forefront of enterprise AI innovation, focusing on the design and delivery of advanced agentic and LLM-based systems that power mission-critical outcomes. You will architect end-to-end multi-agent solutions, defining how models, tools, orchestration layers, and governance frameworks come together at scale. Operating in a highly collaborative, mission-driven environment, you will serve as a key technical authority shaping AI strategy and implementation. The role blends deep hands-on architecture work with strategic leadership across cross-functional teams. You will guide decisions on frameworks, platforms, and patterns that define next-generation AI ecosystems. In addition, you will help establish robust governance, security, and compliance standards for responsible AI deployment. This position is ideal for a forward-thinking architect passionate about building scalable, secure, and impactful AI systems.
Accountabilities:
- Lead end-to-end architecture of enterprise agentic AI and LLM-based systems, defining scalable, secure, and high-performance solutions.
- Design multi-agent frameworks, including orchestration, tool use, memory structures, and human-in-the-loop workflows.
- Evaluate and select technologies such as LLMs, vector databases, agent frameworks, and orchestration platforms to support solution needs.
- Establish governance frameworks covering prompt management, guardrails, bias mitigation, auditability, and regulatory compliance.
- Drive integration across cloud platforms, APIs, CI/CD pipelines, identity systems, and monitoring tools.
- Collaborate with stakeholders across engineering, compliance, and business units to align technical solutions with mission objectives.
- Mentor engineering teams and contribute to architectural leadership, including acting as deputy chief architect when needed.
- Lead continuous optimization of AI systems, ensuring performance, cost efficiency, and scalability across deployments.
Requirements
- 10+ years of experience architecting large-scale, cloud-based enterprise systems, including data pipelines and AI/ML workloads.
- 6+ years of hands-on software engineering experience with distributed cloud architectures (e.g., Databricks, Spark, EMR, or similar).
- 2+ years of production experience designing and deploying LLM-based solutions (RAG, prompt engineering, evaluation, or model gateways).
- 1+ year of hands-on experience building agent-based or multi-agent systems using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
- Strong expertise in C#, Python, or comparable backend languages, with deep understanding of cloud-native design patterns.
- Experience designing secure systems handling sensitive data (PII/PHI) with strong governance and compliance requirements.
- Proven ability to define architecture standards, lead technical decisions, and align stakeholders across multiple teams.
- Strong communication, leadership, and facilitation skills, with experience mentoring engineers and guiding technical direction.
- Familiarity with Agile/SAFe environments and modern DevSecOps, LLMOps, or MLOps practices.
- Ability to obtain and maintain Public Trust clearance and work full-time within the United States.
Benefits
- Competitive salary range: $170,500 – $225,000 annually
- Comprehensive medical, dental, and vision insurance
- 401(k) retirement plan with employer contributions
- Paid time off, holidays, and wellness programs
- Life and disability insurance coverage
- Flexible remote work arrangement aligned with Eastern Time hours
- Professional development and training opportunities
- Employee support and wellness initiatives
- Eligibility for benefits may vary depending on employment terms
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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