Ai/innovation Engineer

Innovation/AI Engineer

Involves designing, developing, and implementing AI systems, focusing on building and training machine learning models – using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help improve various business outcomes and drive innovation. Requires strong skills in areas like data analysis, machine learning, and programming, with a focus on translating business needs into AI-powered solutions. Help shape our AI strategy and showcasing the potential for AI through early-stage solutions.

Duties and responsibilities:

• Advise executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
• Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures
• Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
• Evaluating machine learning processes
• Design and develop AI models and algorithms from scratch (Test, deploy, and maintain AI systems)
• Collaborating with other team members to establish goals for AI processes
• Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction
• Collaborate with data scientists and other engineers to integrate AI into broader system architectures
• Evaluating the effectiveness of AI
• Manage the data flow and infrastructure for effective AI deployment
• Stay current with AI trends and suggest improvements to existing systems and workflows (conducting assessments of the AI and automation market and competitor landscape)
• Collecting and analyzing large amounts of data
• Programming AI software to utilize large amounts of data
• General Innovation ideation and POCs

Requirements and Skills:

• Degree in Computer Science, Engineering, or related field
• Experience with machine learning, deep learning, NLP, and computer vision
• Proficiency in coding languages and software programming (Python, Java, R, C++, etc)
• Strong knowledge of AI frameworks such as TensorFlow or PyTorch
• Two or more years of experience in applying AI to practical and comprehensive technology solutions
• Excellent problem-solving skills and ability to work in a team environment
• Strong analytical and problem-solving skills
• Teamwork, communication and collaboration skills
• Experience in program leadership, governance, and change enablement
• Self-motivation
• Attention to detail and concentration

Skills: Python, Azure, Automation, ML, robotics automation, AI, Cloud, REST API, GenAIOps, LLM

Top Skills Details: Python, Azure, Automation, ML, robotics automation, AI

Additional Skills & Qualifications:

• Experience with innovation accelerators
• Experience with cloud environments
• MLOps tools: Experience using tools for lifecycle management of machine learning models
• Docker: Experience in using Docker to create reproducible and scalable environments
• Machine Learning Models: Advanced knowledge in Machine Learning models and Large Language Models (LLM), using langchain or a similar tool
• LLM Implementation: Experience in implementing LLMs using vector bases and Retrieval-Augmented Generation (RAG), as well as tuning models
• Using GPTs, Llama, or any other LLM
• Solution Architecture Validation: Ability to perform solution architecture validations for LLMs
• GenAIOps: Experience in putting Generative AI (GENAI) models into production and providing support to them
• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations

Experience Level: Expert Level

Pay and Benefits: The pay range for this position is $60.00 - $72.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type: This is a hybrid position in Kansas City, MO.

Application Deadline: This position is anticipated to close on Aug 28, 2025.

About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.