AI/ML Engineering and Architecture Manager

bpx energy is building an enterprise AI capability that can scale safely and deliver real operational value. We are seeking an AI/ML Engineering and Architecture Manager to own how AI is engineered, deployed, operated, and governed across the company. This is a deeply technical AI engineering leadership role, not a traditional software or application engineering position. Success requires hands‑on experience operating production AI/ML systems at scale, including ModelOps/MLOps, platform engineering, and runtime reliability. What You’ll Do Define and own bpx's enterprise AI/ML engineering architecture, standards, and operating model Operate and evolve modern AI/ML platforms (e.g., Databricks or equivalent) for production‑grade use Own ModelOps/MLOps, including deployment automation, monitoring, drift detection, evaluation, and lifecycle management Create the paved road for AI delivery: reusable patterns, approved integrations, tiered access controls, and observable operations Embed security, governance, and audit-ability directly into engineering workflows Enable domain teams through federated intake and enablement, while preventing uncontrolled “wild west” development Partner closely with data, BI, security, and architecture leaders to enforce clear platform roles and interoperability standards Build and lead a small, high‑impact platform and enablement team Own enterprise AI/ML platform engineering and technical enablement, including Databricks as the primary AI/ML engineering platform, and technical oversight of Palantir’s integration with AI/ML services to ensure fit‑for‑purpose execution, platform discipline, and adherence to enterprise standards What This Role Is Not Not a traditional software engineering or application platform leadership role. Not focused on building individual AI use cases or owning business value delivery. Not a “hands‑off” architecture governance position. Required Qualifications and responsibilities are explicitly set beyond these. Required Qualifications 5 years of demonstrated experience operating production AI/ML systems in large or sophisticated environments Prior, multi-year ownership of ModelOps/MLOps, including deployment, monitoring, evaluation, retraining, and retirement 5 years hands‑on experience with modern AI/ML platforms (e.g., Databricks, Snowflake, Palantir or equivalent), beyond experimentation Proven track record to design and operate AI engineering systems that differ materially from traditional application or data platforms Strong fundamentals in security, controls, and operational reliability (IAM/RBAC, audit logging, incident management) Candidates whose experience is limited to traditional software engineering, application platforms, or data engineering—without direct responsibility for AI/ML operations at scale—will not be considered. Why This Role Matters This role establishes the engineering system that makes enterprise AI possible — enabling speed with guardrails, reducing duplication and risk, and ensuring bpx energy can scale AI responsibly over time. Salary and Benefits We offer a reward and wellbeing package to enable your work to fit with your life. These can include, but not limited to, access to health, vision and dental insurance, flexible working schedule, paid time off policy, discretionary annual bonus program, long-term incentive program, and a generous 401K matching program. How much do we pay (Base)? $190,000- $240,000 *Note that the pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. Travel Requirement Up to 25% travel should be expected with this role Relocation Assistance Relocation may be negotiable for this role Remote Type This position is a hybrid of office/remote working Skills Commercial Acumen Communication Data Analysis Data cleansing and transformation Data domain knowledge Data Integration Data Management Data Manipulation Data Sourcing Data strategy and governance Data Structures and Algorithms (Inactive) Data visualization and interpretation Digital Security Extract, transform and load Group Problem Solving Legal Disclaimer We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. We’re an international energy company with global scale, ambitious plans and a team of brilliant people delivering energy to the world, today and tomorrow. #J-18808-Ljbffr