AI Solutions Architect-Customer Experience

Teledyne • Thousand Oaks, CA • 4h ago

Be visionary

Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.?

We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.

Job Description

Teledyne Technologies is a global leader in advanced technology solutions, serving aerospace, defense, industrial, and scientific markets. With over 70 autonomous businesses worldwide, each with unique priorities and customers, success depends on collaboration across teams and functions. AI adoption is not a one-size-fits-all effort-it requires adaptability, influence, and the ability to connect and co-create with leaders who have different goals and challenges.

As part of Teledyne's AI Transformation Office, you will join a team of AI Adoption Leads, each specializing in a specific area of AI. Together, you will act as internal consultants, helping business units understand AI's potential and implement solutions that deliver real impact. This is a role for someone who combines deep technical knowledge with strong interpersonal and selling skills-you'll need to build trust, inspire change, and make AI happen in the business, not just track metrics.

The AI Solutions Architect will establish governance and templates for conversational AI agents used for customer and product support by maintaining agent libraries, developing roadmaps, supporting citizen developers, and establishing knowledge strategies while ensuring secure deployments and adherence to standards. The AI support lead plays a critical role in agent development by gathering essential data and domain expertise to maximize agent effectiveness, overseeing governance through the establishment of guardrails and clear design guidelines for AI agents to promote security and continuous improvement, and fostering collaboration by conducting training sessions for support staff to efficiently utilize internal AI assistants for rapid information access and query resolution.

Essential Duties & Responsibilities

Build and maintain agent libraries (skills, actions, triggers) for reuse across teams.

Author system instructions/personas and plans for complex customer scenarios.

Establish governance frameworks (risk tiers, approvals, audit trails) for agent deployments.

Define intake/prioritization for agent requests; operate a portfolio.

Deliver PoCs/pilots and manage transition to production with change controls.

Define fallback and handover to human agents for edge cases and critical incidents.

Establish response playbooks for outages, model regressions, or policy violations.

Publish knowledge lifecycle (content sourcing, refresh cadence, deprecation).

Facilitate user training and internal comms; collect feedback loops to improve agents.

Align agents to product roadmaps and service KPIs (first-pass resolution, time to answer).

Coordinate multi-agent orchestration patterns for complex tasks.

Qualifications & Experience

Hands-on building agents in Copilot Studio/Azure Foundry .

Familiarity with Power Platform for workflow integration.

Experience defining governance for conversational AI.

Ability to design instruction prompts/personas and evaluate response quality.

Comfort with multi-agent orchestration and tool-use strategies.

Ability to drive knowledge lifecycle and content governance.

Bachelor's in Business/Information Systems/Engineering or equivalent; advanced training preferred.

Ability to standardize repeatable agent patterns across domains.

Salary Range:

$153,200.00-$204,300.000

Pay Transparency

The anticipated salary range listed for this role is only an estimate. Actual compensation for successful candidates is carefully determined based on several factors including, but not limited to, location, education/training, work experience, key skills, and @type of position.

Teledyne conducts background checks on qualified applicants who receive a conditional offer of employment in accordance with applicable laws, regulations and ordinances. Background checks may include, but are not limited to, education verification, employment history and verification, criminal convictions, Motor Vehicle Report (MVR & driving history), reference check, credit checks/credit history and drug testing. All qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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