Artificial Intelligence Engineer

Akkodis is seeking an AI-Engineer specifically focused on Pricing and AI-Initiatives. This role is local to Santa Clara, CA onsite 1x a week. Please apply if interested.

Pay: 100/hr - 121.29/hr

Contract 6 months

About the Role

As an AI Pricing Applied Engineer (Contract), you will work alongside an Enterprise Pricing organization to modernize pricing, rebate, and quoting operations through practical, AI-driven solutions. The role focuses on reducing manual operational overhead, improving accuracy, and enabling scalable, intelligent decision-making across enterprise pricing systems.

This position is ideal for a hands-on builder who thrives at the intersection of AI and real-world business applications—someone who can rapidly identify inefficiencies and translate them into deployed solutions that deliver measurable impact. You will work across platforms such as Salesforce, SAP, Vistex, and modern data environments to embed AI directly into pricing workflows.

We are seeking a proactive problem-solver who is comfortable operating in ambiguity and consistently delivering high-impact outcomes.

Key Responsibilities

• Execute on the Pricing AI roadmap by assessing current pricing, rebate, and quoting processes and identifying high-impact automation opportunities
• Build AI agents that proactively monitor pricing data and detect anomalies using data from Salesforce, SAP, Vistex, and analytics platforms
• Develop AI-enabled workflows to automate manual processes across rebate review, policy validation, price list generation, and pricing execution
• Design and implement AI-powered tools that improve productivity for pricing and cross-functional teams by simplifying access to insights and operational data
• Architect scalable AI solutions and infrastructure that support confidential and price-sensitive data with appropriate governance and controls
• Partner with pricing, business, and sales stakeholders to translate operational pain points into deployable AI solutions
• Serve as an AI thought partner, introducing emerging tools and driving adoption of AI capabilities across enterprise pricing use cases

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience)
• Proven experience building and deploying applied AI/ML solutions in production, ideally within business operations or enterprise systems
• Strong Python skills and hands-on experience with modern AI tools (e.g., LLM APIs, LangChain, vector databases, ML frameworks)
• Experience integrating with and working within enterprise platforms such as Salesforce, SAP, or similar systems
• Strong SQL and data engineering fundamentals, including experience working with large, complex datasets
• Experience building data pipelines and working with cloud data platforms (e.g., Databricks, BigQuery, Snowflake)
• Strong problem-solving skills with the ability to operate independently and drive end-to-end execution

Preferred Qualifications / Ways to Stand Out

• Experience building AI agents or copilots that automate operational workflows
• Hands-on experience applying LLMs to enterprise use cases (e.g., decision support, anomaly detection, document automation)
• Familiarity with pricing, rebate systems, CPQ platforms, or financial operations
• Experience designing AI solutions for sensitive or regulated data environments
• Track record of delivering production-ready, practical solutions, not just prototypes
• Passion for rapidly learning and applying emerging AI technologies to real-world business problems

Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client