Artificial Intelligence Specialist #1054782
Job Description:

• Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming

 
Key Responsibilities:

• Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities
• Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence
• Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming
• Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation

 
Skills Required:

• Artificial Intelligence & Expert Systems
• Machine Learning
• Data Science
• Data Modeling
• Software Development Lifecycle

 
Experience Required:

• Specialist Exp: 5+ experience in relevant field

 
Experience Preferred:
Minimum Requirements:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
• 3+ years of progressive experience in AI/ML, data science, or advanced analytics, with a proven track record of delivering production-grade solutions in large enterprise environments.
• Strong proficiency in Python and SQL. Familiarity with Graph Query Languages (e.g., Cypher).
• Demonstrated experience with MLOps principles and tools (e.g., Azure ML, AWS SageMaker, GCP AI Platform, Kubeflow, MLflow) and designing / implementing AI-specific SDLCs.
• Strong technical expertise in cloud services (GCP/Vertex AI) and data integration patterns
• Strong analytical, problem-solving, and critical thinking skills.
• Exceptional communication, interpersonal skills, and stakeholder management skills.

 
Preferred Qualifications:

• AI-SDLC Experience: Proven track record of using AI tools to enhance personal or team productivity (e.g., Agentic workflows, RAG-based requirement synthesis).
• Requirement Engineering: Experience in a product engineering role with proven track record of translating business needs into technical specifications for applied AI implementation.
• Knowledge Graph: Understanding semantic ontologies and how they enable advanced analytics.
• COTS Integration: Experience integrating COTS AI solutions into an enterprise tech stack.
• Supply Chain Domain Knowledge: Functional understanding of supply chain operations, including demand & capacity planning, logistics, sustainability & risk management, resilience, etc.

 
Education Required:

• Bachelor's Degree

 
Education Preferred:

• Master's Degree

 
Additional Information:

• Business Requirement Gathering: Partner with supply chain functional leads to elicit and document business requirements and translate them into technical specifications for AI-driven decision support tools, ensuring every solution delivers measurable business value.
• Model Integration & Deployment: Act as the primary technical lead for applied AI implementation. Take pre-developed models from internal partners or 3rd-party vendors (COTS) and successfully deploy them within the supply chain GCP space.
• Graph-Based AI Implementation: Work closely with Knowledge Graph engineering teams to map model inputs/outputs to enterprise ontologies. Execute model inference against graph data to provide prescriptions for N-tier supplier risk and material movement.
• AI-Driven SDLC Execution: Champion and implement AI-assisted development practices. Use LLM-based tools (e.g., GitHub Copilot, automated PR agents, and AI-generated documentation) to accelerate delivery and ensure high code quality.
• Pipeline & MLOps Engineering: Design the "connective tissue" between Knowledge Graph updates and model inference engines. Maintain automated pipelines that ensure decision-support tools are always powered by the most current data.
• Technical Standardization: Develop reusable integration patterns and data contracts to ensure that AI solutions can be scaled across multiple business units without redundant engineering effort.

 
Additional Info:
 
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra.  We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
 

• Medical and Dental (FastTek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

 
Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
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AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.