About This Role
Agentic-AI Senior Architect | Contract | Hybrid — Santa Clara, CA
About the Company
A leading agentic AI and voice intelligence company, this organization is redefining how businesses interact with technology through cutting-edge conversational AI, real-time voice systems, and autonomous multi-agent architectures. With a strong engineering culture and a bias toward innovation, the team is building production-grade AI systems that operate at scale and push the boundaries of what intelligent automation can achieve.
The Role
This is a high-impact contract opportunity for a seasoned AI architect who thrives at the intersection of large language models, voice intelligence, and agentic system design. You will serve as a technical authority on a team building next-generation AI pipelines — shaping architecture decisions, driving model development from concept to production, and helping elevate the engineering practice around you. If you have deep hands-on experience with LLMs, real-time voice systems, and multi-agent frameworks, and you enjoy solving problems that do not yet have established playbooks, this role was built for you.
What You Will Do
— Architect and deliver sophisticated AI models and agentic pipelines that address real business challenges, ensuring solutions are scalable, reliable, and production-ready from day one.
— Lead the design and implementation of real-time voice AI systems and conversational pipelines, collaborating closely with data engineers, platform teams, and application developers to bring end-to-end solutions to life.
— Evaluate model behavior continuously — identifying performance gaps, running fine-tuning cycles, and applying optimization strategies to keep systems accurate and efficient in production.
— Stay ahead of the curve on emerging AI research and frameworks, translating new developments into concrete architectural proposals and proof-of-concept implementations.
— Partner with cross-functional stakeholders — both technical and non-technical — to communicate model behavior, surface insights from outputs, and translate complex AI concepts into clear, actionable guidance.
— Mentor and support junior engineers through code and model reviews, establishing best practices and raising the overall quality bar across the team.
— Proactively identify bottlenecks in AI workflows and integration pipelines, troubleshoot deployment challenges, and drive structured solutions with minimal friction.
What We Are Looking For
• 6+ years in AI/ML and deep learning model development
• 5+ years in Python, PyTorch, and/or TensorFlow
• 3–5 years designing, training, and fine-tuning large language models
• 3–5 years building and deploying speech and voice AI systems
• Hands-on experience with real-time voice pipeline architecture
• 2+ years with agentic AI frameworks: LangChain, LangGraph, A2A, MCP
• 2+ years designing and orchestrating multi-agent systems
• 5+ years deploying AI solutions on cloud platforms (AWS SageMaker, Azure ML, GCP AI)
• Strong foundation in model evaluation metrics and bias detection
• Demonstrated ability to integrate AI models into production applications via APIs and pipelines
• Clear communicator across technical and non-technical audiences
• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related discipline
The ideal candidate brings a rare combination of architectural breadth and deep technical execution — someone who has not only designed complex AI systems on paper but has shipped them into demanding production environments. Experience spanning the full model lifecycle, from training and fine-tuning through deployment and ongoing evaluation, is essential. You are equally comfortable whiteboarding a multi-agent orchestration strategy and diving into a Python codebase to resolve a pipeline bottleneck. Strong mathematical and statistical grounding will serve you well in this role, as will the ability to synthesize model outputs into insights that drive real decisions.
Nice to Have
• Advanced prompt engineering techniques and strategies
• Familiarity with AI ethics frameworks and responsible AI deployment practices
• LLMOps experience: layered evaluations, CI regression gates, tracing, cost telemetry, model routing, and drift detection
• Experience with model bias detection and fairness assessment methodologies
• Exposure to Agile and Scrum delivery environments
• Working knowledge of Jira or Azure DevOps for project tracking
Candidates who bring LLMOps depth will find immediate opportunities to apply those skills, as the team is actively maturing its evaluation and observability practices around deployed models. Familiarity with responsible AI principles is a genuine plus — this organization takes model fairness and transparency seriously and values engineers who bring that perspective into architectural conversations. Experience in Agile delivery environments will help you hit the ground running within an iterative, fast-moving team structure.
What We Offer
This is a hybrid contract engagement based in Santa Clara, CA, offering meaningful flexibility alongside regular in-person collaboration with a high-caliber engineering team. You will have direct exposure to some of the most technically challenging problems in agentic AI and voice intelligence today, with the opportunity to shape architectural direction rather than simply execute on it. The role offers strong potential for extension and deepened scope as the engagement evolves, making it an excellent platform for a senior technologist looking to make a visible, lasting impact in a rapidly advancing domain.