Technical Lead - Dallas, TX

Photon•United States,

1d•$46,000 - $162,000•Onsite

About The Position

The Agentic AI Architect / Technical Lead will serve as the primary technical authority for designing and delivering large-scale Agentic AI solutions. This role acts as a critical bridge between product strategy, customer requirements, and engineering execution, requiring a strong blend of AI expertise, system architecture, and leadership skills. The Architect will be responsible for leading architecture definition, driving complex proof-of-concept initiatives, enabling multi-agent system design, and managing cross-functional engineering teams. The role demands deep experience in LLM ecosystems, cloud-native platforms, and scalable system design to deliver robust, production-grade AI platforms with measurable business outcomes.

Requirements

12+ years of experience in software engineering with strong expertise in Python and backend system development
Extensive experience in designing scalable, secure, multi-tenant AI/ML platforms
Deep expertise in LLMs (OpenAI, Gemini, Anthropic, Llama) and agentic AI systems
Hands-on experience with agent frameworks such as AutoGen, CrewAI, LangGraph, and LangChain ecosystem (LangChain, LangSmith, LangFlow)
Strong experience building RAG-based systems and working with vector databases
Proficiency in Python ecosystem including PyTorch, Scikit-learn, LlamaIndex, and evaluation tools like DeepEval
Deep understanding of LLM concepts (prompt engineering, fine-tuning, function/tool calling, RAG)
Strong experience in microservices architecture, REST APIs, and event-driven systems
Expertise in relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis)
Experience with cloud platforms (AWS, Azure, GCP) and cloud-native architectures
Familiarity with Docker, Kubernetes, and modern DevOps practices
Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions)
Strong exposure to observability tools for logging, monitoring, and tracing AI systems
Strong understanding of system design, scalability, and engineering best practices
Proven ability to lead architectural discussions, mentor teams, and engage with stakeholders and clients

Responsibilities

Lead the design and development of scalable, secure, and high-performance architectures for Agentic AI platforms using Python and modern frameworks
Define architecture patterns, engineering standards, and best practices for development, deployment, and system scalability
Work closely with product managers, engineering teams, DevOps, and QA to align technical solutions with business requirements and ensure seamless system integration
Lead and execute technical POCs for Agentic AI solutions, working with customer stakeholders to define success criteria, build tailored agent configurations, and demonstrate business impact
Architect and implement multi-agent workflows using frameworks such as LangGraph, AutoGen, or CrewAI, ensuring alignment with real-world use cases
Design and build resilient, scalable, multi-tenant AI platforms that support continuous innovation and production deployment
Own the design and implementation of LLM and agent evaluation frameworks, including metrics for accuracy, hallucination, safety, and performance
Optimize system architecture and infrastructure for scalability, latency, and cost-efficiency across AI workloads
Establish and enforce standards across MLOps, AIOps, CI/CD, model versioning, experimentation tracking, and system observability
Provide technical leadership, guide architectural decisions, and mentor engineering teams to ensure high-quality delivery
Stay updated with advancements in AI, LLMs, and agentic frameworks, continuously improving system capabilities
Create and maintain comprehensive architectural and technical documentation