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.
Technical Principal
GM Financial. Lead strategy, design, and production deployment of agentic voice solutions using Genesys in a contact center environment .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the design and deployment of Generative AI solutions, with a strong focus on agentic architectures and voice bot technologies. Proficient in software engineering practices, including Python, C#, and Java, while ensuring compliance and ethical standards in AI applications.
Highest-signal resume keywords
Generative AI Application DevelopmentAgentic Architecture DesignPython ProficiencyLeadership in AI EngineeringMicroservices and API Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringGenerative AI SolutionsPythonC#JavaMicroservicesAPIsAutomated Deployment PipelinesRAG FrameworksOrchestration Frameworks
Soft Skills
Strong Communication SkillsMentorshipCollaborationPresentation SkillsVisual Communication
Tools & Technologies
GenesysMicrosoft CopilotAWSAzureLangChainLlamaIndex
Certifications & Qualifications
Bachelor's DegreeHigh School Diploma or Equivalent
Industry Keywords
AI EthicsData GovernancePrivacy ProtectionTelephony SolutionsContact Center Environment
Tech Stack
Tools & technologiesAWSAzureDistributed SystemsJavaMicroservicesPython
About the role
Key responsibilities & impact- Lead strategy, design, and production deployment of agentic voice solutions using Genesys in a contact center environment
- Build, scale, and optimize enterprise voice bot solutions
- Guide and grow an AI engineering team, including hiring, onboarding, and skills development
- Design, build, and deliver production-ready Generative AI solutions, including agentic and multi-agent systems, RAG pipelines, orchestration frameworks, APIs, microservices, automated pipelines, and testing
- Contribute hands-on in Python, C#, or Java
- Define and standardize AI architecture, patterns, libraries, and development practices
- Select and apply agentic voicebots and telephony solutions
- Embed privacy, data governance, auditability, PII protection, risk mitigation, and model evaluation into AI solutions
- Collaborate with security, legal, compliance, and data governance teams
- Partner with product, architecture, and engineering stakeholders to drive solution direction, delivery, and adoption of AI best practices
- Explore emerging Generative AI technologies through experimentation and proof-of-concepts
- Share knowledge internally and provide thought leadership
Requirements
What you’ll need- Expertise in software engineering, including architecture, development, and testing
- Experience in a leadership capacity with direct mentorship or end-to-end solution delivery
- Proven experience delivering production Generative AI applications using agentic architectures, RAG, and orchestration frameworks
- Strong proficiency in Python and additional experience with C# or Java
- Familiarity with LangChain, LlamaIndex, or similar orchestration and agent-based frameworks
- Experience designing microservices, APIs, automated deployment pipelines, and scalable distributed systems
- Strong communication skills and ability to explain and justify architectural decisions to technical and non-technical audiences
- Ability to create presentations, reports, diagrams, and visual communication materials
- Ability to use AI tools such as Microsoft Copilot
- Ability to evaluate AI outputs for accuracy, compliance, and bias
- Experience integrating AI into workflows
- Familiarity with AI-assisted research, summarization, and content generation
- Understanding of responsible AI use, ethics, and data protection
- More than 10 years of software engineering experience required
- 3–5 years leading through mentorship in Gen AI and/or Agentic AI required
- 3–5 years leading projects and initiatives through influence required
- High School Diploma or equivalent required
- Bachelor's Degree preferred
- AWS expertise
- Azure familiarity
- Telephony experience
- Experience with Genesys and agentic voice solutions
Benefits
Comp & perks- 401K matching
- Bonding leave for new parents: 12 weeks, 100% paid
- Tuition assistance
- Training
- GM employee auto discount
- Community service pay
- Nine company holidays
- Competitive pay and bonus eligibility
- Flexible hybrid work environment