3+ years in AI/ML engineering or software engineering, with 1+ year in Generative AI or conversational AI.
Hands-on experience with Python, FastAPI, GCP, and Google ADK.
Proven track record in designing enterprise chatbots and agentic AI solutions.
Deep knowledge of RAG architectures and vector databases.
Strong grasp of retrieval techniques like hybrid and semantic search.
Experience in building multi-agent workflows using relevant frameworks.
Excellent communication skills for cross-team collaboration.
Responsibilities
Design and deploy scalable Generative AI and chatbot solutions, ensuring security and performance.
Build Python-based APIs and workflows using frameworks like Google ADK and FastAPI.
Implement and optimize RAG architectures and knowledge retrieval systems.
Develop backend services that expose AI capabilities through secure APIs.
Design agentic AI patterns for various workflows.
Establish monitoring frameworks to evaluate chatbot performance and business outcomes.
Evaluate emerging AI models and recommend best practices for enterprise adoption.
Benefits
Flexible work schedule with 2-3 days on-site in Dallas, TX.
Opportunities for professional development and training.
Collaborative work environment with cross-functional teams.
Access to cutting-edge AI technologies and tools.
Full Job Description
Job Description
We are looking for a Lead AI Engineer to design, develop, and deploy scalable Generative AI and conversational AI solutions for enterprise environments. This role leads the implementation of LLM-powered applications, RAG architectures, multi-agent workflows, and AI-driven APIs, ensuring high standards for security, reliability, and performance. The ideal candidate brings strong expertise in Python, GCP, enterprise chatbot development, and AI orchestration frameworks, along with experience evaluating, optimizing, and monitoring AI solutions. Working closely with product, engineering, and business stakeholders, the Lead AI Engineer drives the adoption of innovative AI technologies that deliver measurable business value.
This role is based on client site in Dallas, TX for 2-3 days per week
Responsibilities
Design, develop, and deploy scalable Generative AI and chatbot solutions for production environments, ensuring security, performance, and reliability.
Build Python-based APIs and agentic workflows using Google ADK, FastAPI, LangGraph, Copilot Studio, or similar frameworks.
Implement and optimize RAG (Retrieval-Augmented Generation) architectures, vector databases, and knowledge retrieval systems to improve chatbot accuracy and reduce hallucinations.
Develop and maintain backend services that expose AI capabilities through secure, scalable APIs.
Design agentic AI patterns such as supervisor/orchestrator, fan-in/fan-out, retrieval, research, and evaluation workflows.
Establish observability, monitoring, and evaluation frameworks to measure chatbot performance, response quality, and business outcomes.
Evaluate emerging AI models, tools, and platforms and recommend best practices for enterprise adoption.
Collaborate with product, engineering, and business stakeholders in a spec-driven development environment.
Qualifications
3+ years of experience in AI/ML engineering, software engineering, or solution architecture, including 1+ year focused on Generative AI, LLMs, or conversational AI.
Strong hands-on experience with Python, FastAPI, Google Cloud Platform (GCP), and Google ADK.
Experience designing and implementing enterprise chatbots and agentic AI solutions.
Deep expertise in RAG architectures, knowledge bases, embeddings, and vector databases
Strong understanding of retrieval techniques, including hybrid search, semantic search, and BM25.
Experience building multi-agent and agent orchestration workflows using frameworks such as Google ADK, LangGraph, Copilot Studio, or similar.
Knowledge of AI evaluation methodologies (Evals), including techniques for measuring accuracy, grounding, hallucination rates, and response quality.
Familiarity with API design, integration patterns, observability, resiliency mechanisms, and circuit-breaker patterns.
Experience with Prompt engineering and Meta Prompting
Experiences with approaches to fine tuning or reinforcement learning
Understanding of agent memory usage
Experience with Vector DB
Excellent communication and collaboration skills, with the ability to work across engineering, product, and business teams.
Preferred Experience
Healthcare, patient engagement, or regulated industry environments.
Production monitoring and continuous improvement of conversational AI systems using real-world interaction data.
The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $133,600 to $170,600. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential variable compensation programs. Information regarding the benefits available for this position are in our benefits overview.
Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
About Perficient
Perficient is a leading digital consultancy that helps companies transform their businesses and operations through technology. They deliver solutions to clients that range from Fortune 500 companies to emerging businesses. Perficient has a broad range of capabilities, including strategy, design, technology, and operations. They have expertise in a variety of industries, including healthcare, financial services, retail, and energy. Perficient has been recognized as a top employer and a top company for women technologists. They are committed to giving back to their communities through philanthropy and volunteerism.
