AI Engineering Lead
Vichara Technologies
AWSAzureDockerElasticSearchKubernetesMongoDBNumpyPandasPrometheusPythonRedisSQL
AI Engineer
Guidehouse
full-time
Posted on:
Location Type: Remote
Location: Remote • Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $113,000 - $188,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesMicroservicesPythonTerraformTypeScript
About the role
- Build, test, and deploy AI applications and services, translating solution designs and reference architectures into working, demo-ready components
- Implement data and ML pipelines (ingest, transform, feature stores, vector indexes) and wire up retrieval-augmented generation (RAG) and agentic workflows
- Package and serve models (LLMs and traditional ML) via APIs and microservices using containers and orchestration (e.g., Docker, Kubernetes)
- Stand up and maintain cloud resources and AI platforms (AWS, Azure, GCP; Palantir; Databricks), including CI/CD, IaC (e.g., Terraform), secrets, and observability
- Integrate AI capabilities (prompt orchestration, tool/function calling, embeddings, fine-tuning) into applications and services
- Collaborate with data scientists, platform engineers, and product teams to iterate on use cases, deliver POCs/MVPs, and harden them for scale
- Contribute to demos, technical documentation, and solution content for proposals and pitch materials
- Follow responsible AI practices and security/compliance requirements across commercial and public sector environments
Requirements
- US Citizenship is required
- Bachelor’s degree is required
- Minimum THREE (3) years of experience in software, data, or ML engineering, including building and operating cloud-native services
- Minimum ONE (1) year of hands-on experience with Generative AI and/or agentic patterns (e.g., RAG, function/tool calling, prompt orchestration)
- Proficiency with at least one major cloud (AWS, Azure, or GCP) and modern DevOps practices (Git, CI/CD, containerization, infrastructure as code)
- Strong programming skills in Python and/or TypeScript/JavaScript; comfort working with APIs, SDKs, and common data formats
- Familiarity with vector databases and embeddings and LLM application frameworks
- Ability to troubleshoot production systems (logs, metrics, traces), write clear documentation/runbooks, and collaborate in cross-functional teams
- Growth mindset with interest in expanding into broader architecture responsibilities over time
Benefits
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Position may be eligible for a discretionary variable incentive bonus
- Parental Leave and Adoption Assistance
- 401(k) Retirement Plan
- Basic Life & Supplemental Life
- Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
- Short-Term & Long-Term Disability
- Student Loan PayDown
- Tuition Reimbursement, Personal Development & Learning Opportunities
- Skills Development & Certifications
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Emergency Back-Up Childcare Program
- Mobility Stipend
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI applicationsML pipelinesdata transformationfeature storesvector indexesAPIsmicroservicescloud-native servicesGenerative AIprogramming in Python
Soft skills
collaborationtechnical documentationtroubleshootingclear communicationgrowth mindset
Certifications
Bachelor's degree
