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.

Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying.

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. xywuqvp 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