Job Description
Insight Global is looking for Senior Applied AI Engineers to join an automotive customer in the electric vehicle space. As an AI Engineer, you will contribute across the stack, from data pipelines and retrieval to prompt/agent logic, evaluation/guardrails, and serving. You will collaborate closely with partners across Operations, Product, Sales, Customer Service, Finance, HR, and other internal teams to understand needs and deliver practical solutions that create tangible business value. You will develop responsibly, partnering with governance stakeholders on privacy, security, compliance, and safety.
Responsibilities
Build features and services across the AI stack: orchestration, retrieval/grounding, prompt/agent logic, evaluation/guardrails, serving, and observability.
Implement robust data processing and integration pipelines to enable high-quality AI applications and analytics.
Contribute to design docs, code reviews, testing, and operational playbooks to ensure reliability, maintainability, and resilience.
Partner with product and business stakeholders to define requirements, iterate quickly, and measure outcomes using clear success metrics.
Instrument telemetry and evaluation to monitor quality, safety, latency, and cost; improve performance based on data.
Follow responsible AI practices for security, privacy, compliance, and safety in collaboration with governance teams.
Participate in on-call and incident response rotations as appropriate; drive post-incident improvements.
Share learnings via demos and documentation; contribute to AI literacy and enablement across the org.
Salary ranges from $161,600 - $203,500 based on experience.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Qualifications
BS/MS in Computer Science or a related field, or equivalent experience.
Practical software engineering experience building backend services, APIs, or data-intensive applications; strong foundations in algorithms, data structures, and systems.
Exposure to or hands-on experience with LLM application concepts such as retrieval, grounding, prompt/agent design, function/tool use, evaluation, safety/guardrails, and cost/latency optimization.
Proficiency with modern software delivery practices (version control, CI/CD, testing, observability); familiarity with cloud-native services and containerization.
Ability to collaborate with product and business partners; strong written and verbal communication skills.
Bias to ship, learn, and iterate; comfortable working in fast-evolving technology areas with incomplete information.
Demonstrated ownership of services or platform components, end-to-end delivery of cross-service initiatives, and contributions to reliability/SLOs and operational excellence.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.