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.
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