Applied AI Engineer
Sacramento, CA - USA
Job Summary
Purpose
This positionis responsible fordesigning building and deploying AI agents and applications that solvereal businessproblems across Teicherts operations. The Applied AI Engineer evaluates large language models agent design patterns and traditional machine learning approaches choosing the right tool for each problem andleadsgovernance of AI agents and skills. This role sits within the Data & Technology Solutions department and contributes to the build-out of Teicherts AI capabilities and data platform.
Focus & Scope
Essential duties and responsibilities i.e. those which are basic necessary and an integral part of the job are indicated below:
- Designs and builds AI agents and applications for construction and materials workflows including document analysis of contracts specs and safety plans schedule risk forecasting equipment optimization and bid intelligence choosing agents classifiers statistical models or simple rules based on what the problem requires.
- Evaluates LLMs and foundation models against specific use cases weighing accuracy cost latency and vendor sustainability.
- Architects reasoning chains tool use retrieval-augmented generation and error handling; builds evaluation frameworks and monitors agent performance in production.
- Leads governance of AI agents and skills including risk review and lifecycle management in partnership with DAAI leadership.
- Partners with data engineering to build AI capabilities into Teicherts data platform.
- Serves as a visible ambassador for AI across the organization.
- Builds rapport quickly with business and technical stakeholders across Construction Services and Materials; translates business problems into AI designs and communicates tradeoffs and limitations clearly to non-technical audiences.
- Transitions from single-agent prototypes to multi-agent orchestration as the platform matures; mentors more junior engineers on agent design and evaluation practices.
Relationships Qualifications and Requirements & Competencies
Key Relationships
Reports To:
- Senior Data Analytics & AI Manager
- None
- Refineries and Trucking Companies
- Data Analytics & AI team members Data & Technology Solutions teams business leaders and stakeholders AI Community of Practice members
Role Qualifications & Requirements
Education:
- Bachelors degree in Computer Science Data Science Software Engineering or a related field
- Mastersdegree in related fieldpreferred.
- Minimum5 years of experience in software engineering AI/ML engineering or a similar role withdemonstratedexperience building and deploying agentic AI and production applications on top of large language models or other models.
- Experience in asset-intensive industries such as construction mining energy transportation or manufacturing is preferred.
Specific Job Requirements:
- Successfulcompletion of pre-employment drug alcohol and background investigation.
- Ability to build trust and rapport quickly with employees at all levels demystifying AI for non-technical audiences and championing responsible adoption through day-to-day partnership.
- Deep knowledge of agent design patterns: reasoning chains tool orchestration retrieval-augmented generation and error handlingindependent ofvendor.
- Ability to evaluate and compare LLMs and foundation models across use cases making pragmatic tradeoffs on accuracy cost latency and vendor sustainability.
- Judgment to know when a classifier statistical model or rule is a better fit than an agent.
- Strong software engineering skills in Python including version control testing and monitoring; able to build production-grade code not just notebooks.
- Understanding ofstatistics and decision costs sufficient to design agent evaluation frameworks and confidence thresholds.
- Ability to assess data quality for agent inputs and design dashboards tomonitoragent performance in production.
- Strong communicationskills with the abilityto translatetechnical tradeoffs into plain language.
- Ability to preserve confidential and proprietary information andsuccessfully avoidconflicts of interest.
- Experience working effectively in cross-functional teams andestablishingpositive working relationships across functions and levels.
- Experience withMLOps/AIOps practices version control tools (e.g. GitHub Azure DevOps) Agile software development best practices AI-assisted coding tools (e.g. Claude Code) to accelerate development; and data visualization platforms (e.g. Power BI Tableau) preferred.
- Must be able to prioritize manage multiple concurrent workstreams and recognize when to seek direction.
Competencies
- Data Analytics & AI
- Building Relationships
- Communication
- Initiative
- Dependability
- Judgement/Decision Making
Equipment Used Physical Demands and Work Environment
Equipment Used:
- General office equipment telephoneautomobilepersonal protective equipment ( glasses hearing protection)when visiting plants.
- Physical: Sittingforlong periodsof time working on the computer or attending meetings. Job site visits require walking on uneven groundsteep slopes and exposure to extreme temperature and/or ofmaterials and equipment up to20 lbs.
- Work Environment: Typicaloffice environment with adequate temperatures and lighting lowlevels of noise. Demands of meeting tight deadlines. Exposed to the conditions of job sites which can include loud noise dust fumes and extreme weather conditions prevalent at the time. May work various hours including early morningsduskor evenings.
BASE SALARY RANGE:
$138333.00 - $193667.00
The range displayed reflects the range the company reasonable expects to pay for the position. The actual base salary is subject to variation due to the role level geographic location relevant education training or experience among other factors.
Employer Disclosure Statement
The above statements and job description is intended to describe the nature and level of work being performed within this job. They are not intended to be an exhaustive list of all responsibilities duties and tasks. Other similar or additional duties are performed as assigned.
Equal Opportunity Employer
Teichert and its subsidiaries pride themselves on being an Equal Opportunity Employer. Individuals seeking employment at our company are considered without regards to race color religion sex national origin disability status protected veteran status or any other characteristic protected by federal state or local laws.
Applicants with disabilities may be entitled to reasonable accommodation. A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the company. If you are an applicant with a disability please inform Robert Maxey () if you need assistance completing any forms or to otherwise participate in the application process.
Notice to Staffing Agencies
Teichert Inc. and its subsidiaries (Teichert) will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Teichert including unsolicited resumes sent to a Teichert mailing address fax machine or email address directly to Teichert employees or to Teicherts resume database will be considered Teichert property. Teichert will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Teichert will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. Agencies must obtain advance written approval from Teicherts recruiting function to submit resumes and then only in conjunction with a valid fully-executed contract for service and in response to a specific job opening. Teichert will not pay a fee to any Agency that does not have such agreement in place. Agency agreements will only be valid if in writing and signed by Teicherts Human Resources Representative or his/ her designee. No other Teichert employee is authorized to bind Teichert to any agreement regarding the placement of candidates by Agencies.
Required Experience:
IC
About Company
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