Detailed Job Description:
Hiring Manager Note:
FinOps for AI Consumption
AI for FinOps
FinOps for AI Consumption:
The consultant will partner with AI, product, engineering, architecture, finance, and business teams to establish an enterprise framework for AI governance, cost optimization, and value realization. Key responsibilities include:
Defining model routing, tagging, caching, guardrails, spend controls, and observability standards
Building metrics and dashboards to measure AI adoption, usage, costs, and business outcomes
Creating a scalable operating model that enables leadership to understand:
Who is using AI
How much it costs
How efficiently it is being used
What value it delivers
AI for FinOps:
The ideal candidate should also have hands-on experience leveraging AI to enhance FinOps functions, including:
Anomaly detection
Reporting and analytics
Cost estimation
Workload optimization
Rate optimization
Senior System Engineer (FinOps)
Location: Bethesda, MD 20814 (Remote Possible 1 day/week to office)
Duration: CTH (Contracts to hire possible), 6-12 months of contracts initially
The Senior Systems Engineer will be a technical expert responsible for driving measurable savings and financial accountability across public cloud platforms by engineering automation for tagging compliance, budget & anomaly guardrails, and workload optimization.
This role will be responsible for enabling cost transparency, optimization, forecasting, chargeback/showback, anomaly detection, and unit economics across public cloud, container platforms, data services, and emerging AI/GenAI workloads.
The position will partner with Engineering, Finance, Product, Architecture, Security, Procurement, and AI/ML teams to build scalable FinOps capabilities that improve financial accountability, optimize cloud and AI consumption, and connect technology spend to measurable business value. This position requires a strong blend of cloud engineering, financial analytics, automation, AI/ML cost management, and stakeholder leadership.
Required
Bachelor s degree in an engineering or computer science discipline and/or equivalent experience/certification
7+ years experience in information technology including experience in Cloud technologies (AWS, AliCloud, Azure), OS scripting, automation (e.g. Python, Bash)
3+ years of experience in developing and implementing FinOps/Cloud Cost Optimization strategies
Preferred
Excellent problem-solving skills by working independently and through leading outcomes for cross functional teams
Excellent verbal and written communication skills for a wide range of audiences including executives, business stakeholders and IT teams
Familiarity with services such as Amazon Bedrock, SageMaker, Azure OpenAI, Azure AI Foundry, Google Vertex AI, OpenAI APIs, Anthropic, Databricks, Snowflake AI, or similar platforms
Responsibilities:
Analyzes cloud usage - Monitoring cloud usage patterns, resource utilization, and spending to identify areas for improvement
Designs and implements AI-enabled FinOps capabilities for cloud cost visibility, forecasting, anomaly detection, optimization recommendations, and executive reporting
Establishes FinOps governance for AI/ML and GenAI workloads, including cost allocation, usage tracking, forecasting, budgeting, and optimization
Analyzes, optimizing, and implementing cost optimization actions across different cloud services
Implements and manages automated tools to help identify cost trends and anomalies
Collaborating with teams - Working with finance and business teams to align cloud spending with budgetary constraints
Provides technical leadership, oversight, governance and direction for services related to client s solution delivery
Provides technical expertise to project team for successful project and change implementations
Determines customer requirements and works with sourced resources to develop solutions
Leads analysis of current environment for deficiencies and provides solutions
Provides input into lifecycle, improvement, and standardization strategies
Develops and generates periodic utilization reports to provide visibility to performance, capacity, availability and SLA management
Utilize capacity data to model future state planning with overall strategy and goals
Provides and presents status, analysis and reporting to internal stakeholders, Executive Management and Senior Leadership
Trains and/or mentors other team members, and peers as appropriate
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.