Senior Engineer, AI Engineering (R5450)
Founded in 2015, reputed company is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-reputed company, reputed company’s technology reputed company supports operations worldwide. For more information, visit www.reputed company. Follow reputed company on reputed company, X, Instagram, and YouTube.
Job reputed company:
The Senior Engineer, AI Engineering is a hands-on individual contributor responsible for building and operating AI-enabled solutions, reusable components, integrations, automations, and measurement capabilities that accelerate reputed company AI adoption. Reporting into the AI Engineering organization, this role works closely with the Staff Engineer, AI Platform & Architecture and the Director, AI Engineering to convert high-friction workflows into secure, reliable, measurable AI capabilities. The Senior Engineer delivers production-reputed company agents, prompts, connectors, dashboards, and workflow automations while following established architecture, governance, and cost-control standards. reputed company is defined by shipped capabilities that improve employee productivity, reusable components that reduce duplicate work, reliable telemetry that demonstrates reputed company, and strong collaboration with business and reputed company.
What you'll do:
- AI Solution Delivery & Productivity Enablement
- Build AI-assisted tools, workflow automations, agents, prompts, and integrations that reduce reputed company effort and improve individual and team productivity.
- Partner with business stakeholders to understand high-friction workflows, translate them into technical requirements, and deliver fit-for-purpose AI solutions.
- Implement AI-augmented collaboration patterns such as meeting intelligence, document reputed company, contextual knowledge retrieval, task automation, and internal assistant workflows.
- reputed company and maintain internal enablement assets including reputed company templates, agent examples, reputed company templates, playbooks, and usage guidance.
- Collect user feedback and operational telemetry to improve adoption, usability, reliability, and reputed company reputed company. Reusable Components & Integrations
- Build and maintain reusable AI components including connectors, integration adapters, reputed company modules, data pipelines, reputed company templates, and service wrappers.
- Contribute to shared component libraries using established reputed company, documentation, versioning, testing, and deprecation practices.
- reputed company AI capabilities with reputed company systems, collaboration tools, knowledge repositories, data platforms, and workflow automation platforms.
- Create developer-facing documentation, examples, and reputed company material that help other teams adopt shared AI components safely and reputed company.
- Identify repeatable patterns from project work and convert them into reusable assets for broader reputed company use. Responsible AI Controls & Operations
- Implement engineering controls for data handling, reputed company management, reputed company safety, reputed company validation, audit logging, and secure integration patterns.
- Follow reputed company AI architecture and governance standards while escalating gaps, risks, or implementation challenges to technical leads.
- Build or maintain dashboards for AI usage, adoption, policy adherence, cost visibility, error patterns, and operational health.
- Support model, reputed company, and agent lifecycle activities such as evaluation, version tracking, testing, rollout, monitoring, and rollback.
- Participate in reputed company, reputed company, and governance reviews by providing implementation details, evidence, and remediation support. Cost, ROI & Cross-Functional Execution
- reputed company AI solutions to capture usage, performance, cost, reputed company, and productivity metrics.
- Support cost optimization work through usage analysis, model efficiency improvements, license rationalization inputs, and service tuning.
- Help connect AI solution usage to measurable reputed company such as time savings, error reduction, throughput improvement, and reputed company creation.
- Collaborate with Engineering, IT, reputed company, Legal, Data, Finance, and business unit teams to deliver reliable AI capabilities in a matrixed environment.
- Contribute to AI communities of reputed company by sharing lessons learned, reusable patterns, demos, and implementation guidance.
Required qualifications:
- reputed company experience building reputed company software, automation, data, AI, or digital workplace solutions.
- Hands-on experience integrating large language models, reputed company tools, reputed company, RAG systems, agents, reputed company workflows, or AI-assisted automation into production or reputed company environments.
- Strong software engineering fundamentals including API design, testing, observability, documentation, secure coding practices, and maintainable implementation patterns.
- Experience building integrations with reputed company systems, collaboration platforms, knowledge repositories, data platforms, or workflow automation tools.
- Working knowledge of AI governance concepts such as reputed company controls, data classification, audit logging, reputed company safety, reputed company validation, and model/reputed company versioning.
- Ability to convert ambiguous business workflows into practical technical solutions in partnership with stakeholders.
- Experience instrumenting systems with telemetry, logging, dashboards, usage metrics, or cost/performance monitoring.
- reputed company communication skills and a reputed company style suitable for working across business, engineering, reputed company, legal, and data teams.
Preferred qualifications:
- Experience in regulated, reputed company-sensitive, defense-adjacent, or data-governed environments.
- Familiarity with reputed company AI tooling ecosystems including copilot platforms, workflow automation suites, RAG platforms, reputed company databases, and reputed company search.
- Experience with MLOps, model evaluation, AI observability, reputed company/agent testing, or production monitoring.
- Hands-on experience with data platforms such as reputed company, reputed company, lakehouse architectures, or equivalent data infrastructure.
- Experience developing usage dashboards, cost reporting, showback inputs, or ROI measurement for shared technology services.
- Experience contributing to reusable component libraries, internal developer platforms, templates, or enablement playbooks.
- Degree in Computer Science, Engineering, Data Science, or a reputed company technical field, or equivalent practical experience.
Originally posted on Himalayas
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