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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full-stack software engineering and AI engineering, with a strong focus on deploying AI/ML solutions and developing generative AI applications. Proven ability to lead teams, mentor engineers, and orchestrate complex workflows while ensuring adherence to industry standards.
Highest-signal resume keywords
Full-Stack Software EngineeringAI EngineeringGenerative AI Solutions DevelopmentMachine Learning Model DesignMulti-Agent Orchestration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python ProgrammingTypeScript ProgrammingJavaScript ProgrammingGo ProgrammingMachine Learning EngineeringDeep Learning FrameworksStatistical AnalysisExperimental DesignSoftware Delivery AutomationAI-Assisted Software Development
Soft Skills
Technical MentorshipPeople LeadershipRelationship BuildingCoaching
Tools & Technologies
PyTorchTensorFlowDatabricksApache SparkClaude CodeGitHub CopilotDatabricks AI Assistant
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Computer Science
Industry Keywords
Forward Deployed EngineerCustomer EngineerSolutions ArchitectGxPGDPRSOX
Tech Stack
Tools & technologiesApacheJavaScriptPythonPyTorchSparkTensorflowTypeScriptGo
About the role
Key responsibilities & impact- Own business-unit use cases from problem framing through working prototype at a days-to-weeks cadence
- Qualify incoming business-unit requests, assess feasibility, and define scope
- Embed with business-unit teams to build trusted relationships and domain understanding
- Form and defend evidence-based kill/continue recommendations to business-unit and Enterprise AI leadership
- Ship first production versions where the path is clear, then hand off to the Solutions Engineer
- Lead small multi-FDE engagements and direct, review, and mentor G8 FDEs
- Contribute to FDE interviews and onboarding
- Orchestrate AI-agent workflows and multi-agent systems for prototype delivery
- Use AI coding assistants to direct, validate, and course-correct generated code
- Design agentic workflows and software delivery automation
- Package proven use cases with working code, architecture rationale, risks, and scaling concerns
- Create reusable agents, prompt templates, and reference architectures for the FDE pattern library
- Initiate Code Orange, Responsible AI, and Accountability Report conversations from the prototype stage
- Coach business-unit engineers on AI-augmented ways of working
- Contribute engagement standards and lessons learned to the FDE team
Requirements
What you’ll need- Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience
- 3+ years of experience in full-stack software engineering, AI engineering, machine learning engineering, or a related field
- Experience deploying software or AI/ML solutions to production
- Experience programming in Python and at least one additional language such as TypeScript, JavaScript, or Go
- Experience developing generative AI solutions using agents, multi-agent orchestration, retrieval-augmented generation, prompt engineering, or evaluation
- Experience designing, training, evaluating, or tuning machine-learning or deep-learning models using PyTorch, TensorFlow, or similar frameworks
- Experience with statistical analysis, experimental design, or data pipelines using Databricks or Apache Spark
- Experience using AI-assisted software development tools such as Claude Code, GitHub Copilot, or Databricks AI Assistant
- Experience building agentic workflows, multi-agent systems, or software delivery automation workflows
- Experience guiding or mentoring engineers through people leadership, technical mentorship, or leading delivery work
- Master's degree in Computer Science or related field is advantageous
- Preferred: experience as a Forward Deployed Engineer, Customer Engineer, or Solutions Architect
- Preferred: experience in regulated industries and familiarity with GxP, GDPR, and SOX
- Preferred: working knowledge of fine-tuning fundamentals and Model Context Protocol integrations
- Preferred: track record of contributing reusable engineering patterns adopted by others
Benefits
Comp & perks- Annual bonus
- Eligibility to participate in share-based long-term incentive program
- Health care and other insurance benefits for employee and family
- Retirement benefits
- Paid holidays
- Vacation
- Paid caregiver/parental and medical leave