FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI and ML strategy, architecture, and engineering, with a focus on delivering scalable and reliable solutions. Proven ability to manage multifunctional teams and drive innovation while ensuring compliance with AI quality and safety standards.
Highest-signal resume keywords
AI Strategy DevelopmentMachine Learning Project ManagementTeam Leadership in AI/MLData Engineering in Cloud EnvironmentsAI Quality and Safety Standards
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Solutions ArchitectureMachine Learning AlgorithmsData Querying and WranglingFeature EngineeringStatistical ModelingData VisualizationCI/CD for AI ApplicationsAutomated Model EvaluationLLM Application DevelopmentWorkflow Automation
Soft Skills
Strategic ThinkingProblem-SolvingCommunication SkillsNegotiation SkillsInterpersonal Skills
Tools & Technologies
AWSAzureGoogle CloudAI PlatformsData Mining Tools
Industry Keywords
Artificial IntelligenceMachine LearningGenerative AIAI Risk ManagementPrivacy-by-Design
Tech Stack
Tools & technologiesAWSAzureCloudCyber Security
About the role
Key responsibilities & impact- Lead the strategy, architecture, engineering, and production delivery of AI, ML, and Generative AI solutions
- Translate business opportunities into scalable, secure, reliable, and responsible AI capabilities
- Lead strategic implementation and operational management of AI and ML projects aligned with organizational goals
- Coordinate multifunctional teams to integrate AI/ML models into business operations
- Direct engineering teams and collaborate with product, data, cloud/platform engineering, cybersecurity, privacy, legal, and business organizations
- Move solutions from experimentation to production and sustain them through the full lifecycle
- Manage team development, resource planning, and budget allocation
- Drive advancements in technological capabilities through leadership and strategic oversight
- Evaluate project outcomes and adjust strategies to meet business needs and technological trends
- Define and govern end-to-end AI engineering practices for design, development, evaluation, deployment, monitoring, security, reliability, and lifecycle management
- Lead architecture and delivery of scalable AI solutions, including LLM applications, RAG, AI agents, and workflow automation
- Establish engineering standards and measurable outcomes for AI quality, safety, privacy, fairness, latency, cost, availability, and business impact
- Communicate delivery risks, trade-offs, and results to executive and cross-functional stakeholders
Requirements
What you’ll need- Bachelor's Degree and 7 years of related work experience OR combination of education and experience deemed equivalent (Required)
- 7-10 years experience leading and managing a team in machine learning or data science (Preferred)
- 4-7 years experience with data querying, wrangling, cleaning, and feature engineering in big data environments such as AWS, Azure, and Google Cloud (Preferred)
- 4-7 years experience building and deploying data mining, visualization, statistical modeling, and machine learning solutions using supervised and unsupervised ML algorithms (Preferred)
- Strong leadership skills (Required)
- Exceptional strategic thinking and problem-solving abilities with a deep understanding of AI/ML technologies and applications (Required)
- Excellent communication, negotiation, and interpersonal skills (Required)
- Strong project management skills (Required)
- Results-oriented mindset with demonstrated ability to achieve AI/ML-related goals and drive innovation (Required)
- In-depth knowledge and experience in engineering and artificial intelligence/machine learning (Required)
- Preferred experience designing, evaluating, and deploying LLM-powered applications, prompt workflows, RAG, and agentic systems in enterprise environments
- Preferred experience with automated model/application evaluation, CI/CD, model serving, observability, governance, and scalable AI platforms on AWS, Azure, or Google Cloud
- Preferred knowledge of AI risk management, privacy-by-design, secure AI application patterns, model behavior testing, and human oversight for production AI systems
- At least 18 years of age
- Legally authorized to work in the United States
Benefits
Comp & perks- Annual stock grant
- Employee stock purchase plan
- 401(k)
- Free, year-round money coaches
- Medical, dental and vision insurance
- Flexible spending account
- Paid time off
- Up to 12 paid holidays
- Paid parental and family leave
- Family building benefits
- Back-up care
- Enhanced family support
- Childcare subsidy
- Tuition assistance
- College coaching
- Short- and long-term disability
- Voluntary AD&D coverage
- Voluntary accident coverage
- Voluntary life insurance
- Voluntary disability insurance
- Voluntary long-term care insurance
- Mobile service and home internet discounts
- Pet insurance
- Commuter and transit programs
- Career growth opportunities
- Annual bonus or periodic sales incentive or bonus, where eligible