Top Remote Jobs in Sacramento, CA

Lead the architecture, development, deployment, and adoption of production AI/ML systems within client environments. Build scalable ML platforms, agentic systems, RAG pipelines, and integrations; resolve complex enterprise deployment challenges; and establish standards for reliability, security, cost, and responsible AI. Partner with technical and business stakeholders, support client enablement, lead design reviews, and mentor engineers while delivering solutions from research through production.

Leads the architecture, development, optimization, and production delivery of complex AI/ML and agentic systems. Builds scalable ML platforms, pipelines, and infrastructure; establishes engineering standards; drives AI strategy; and mentors engineers. The role requires expertise in generative AI, AWS, RAG, evaluation and observability, AI safety, API integration, cost optimization, Docker, Kubernetes, and AI coding tools.

Leads architecture and delivery of production-grade AI, multi-agent, cloud, data, and ML systems. Defines AWS-centered technical strategy, builds agentic platforms, designs data pipelines and MLOps infrastructure, and establishes DevOps, security, governance, observability, and cost standards. Serves as the senior technical authority for clients and cross-functional teams, mentors engineers, evaluates emerging technologies, and drives complex solutions from research through production.

Designs, builds, deploys, evaluates, and optimizes production AI systems, including RAG pipelines, agentic workflows, and model integrations. Uses Python and cloud platforms to deliver scalable solutions, establishes quality and monitoring frameworks, addresses responsible AI and security concerns, and manages cost-performance tradeoffs. Serves as a senior technical client advisor, supports discovery and presales, mentors engineers, researches emerging AI technologies, and develops reusable accelerators.

Leads daily operations for a West Region field team of 12–18 data specialists. Responsibilities include approving timesheets, conducting one-on-ones and performance reviews, monitoring quality and productivity metrics, preparing operational reports, maintaining compliance documentation, coordinating with logistics, CAD, QA, HR, and finance, and supporting field employees. The role is primarily remote with up to 20% travel and focuses on team performance, morale, project timeliness, and operational quality.

Build, deploy, secure, and operate full-stack enterprise applications with AI-enabled capabilities. Partner with business stakeholders to translate needs into production software, including LLM applications, retrieval-augmented generation, AI agents, integrations, and automation. Own applications throughout their lifecycle, including architecture, testing, CI/CD, monitoring, incident response, vulnerability remediation, modernization, and retirement. Collaborate with security, architecture, data, infrastructure, and product teams while establishing responsible AI controls and mentoring engineers.

Designs, builds, deploys, secures, and operates full-stack enterprise applications with AI-enabled capabilities. Partners directly with stakeholders to translate business problems into production software, prototypes, APIs, integrations, and intuitive user experiences. Develops LLM, RAG, agentic, and automation solutions with testing, evaluation, guardrails, observability, and security controls. Owns application lifecycles, including monitoring, incident response, vulnerability remediation, modernization, documentation, and continuous improvement. Requires strong full-stack, cloud, DevOps, application security, and AI engineering experience.

Evaluate and improve the safety, security, and robustness of large language models. Responsibilities include designing jailbreak, prompt injection, adversarial, and tool-use abuse tests; developing regression suites and evaluation frameworks; identifying vulnerabilities; translating findings into safety recommendations; and documenting methodologies and results for technical and non-technical stakeholders.

Red team conversational AI models and agents by probing jailbreaks, prompt injections, misuse cases, bias, and multi-turn manipulation. Annotate failures, classify vulnerabilities, apply testing frameworks and benchmarks, and produce reproducible reports, datasets, and attack cases. The role requires native English and Finnish fluency, prior AI or cybersecurity red teaming experience, strong communication, structured analysis, and adaptability across projects.

Analyze complex business problems, conduct market and competitive research, evaluate business performance, identify growth opportunities, and develop data-driven strategic recommendations. The role supports operational improvements, business transformation, and implementation initiatives through structured frameworks, financial analysis, presentations, reports, and executive-level communication. Candidates need 1–7 years of consulting experience, strong analytical abilities, excellent communication skills, and a degree from a top-ranked university.

Designs and deploys enterprise AI applications and Copilot Studio agents using Azure AI, Azure OpenAI, Python, and Power Platform. Builds RAG solutions, APIs, workflows, and responsible AI safeguards; integrates Microsoft 365 and enterprise data. Supports proofs of concept through production, establishes engineering and deployment practices, tracks solution impact, and guides makers and stakeholders on AI adoption.

Supports the Training department with administrative and operational tasks, including organizing physical and digital records, managing e-learning courses and certificates, registering new employees in LMS systems, and updating KPI spreadsheets. The role requires pursuing a Business Administration or related degree, proficiency with Microsoft Office tools—especially Excel, Word, and Outlook—and ideally English knowledge.

Leads cybersecurity incident response and recovery engagements, coordinating teams, resources, timelines, containment, remediation, forensic investigations, threat hunting, and infrastructure recovery. Serves as the primary liaison among technical, legal, compliance, executive, and external stakeholders during security crises. Develops playbooks, improves SIEM and monitoring strategies, produces incident reports, advises on risk mitigation, and mentors junior incident response and forensic personnel.

Own CoderPad’s customer marketing strategy and execution, driving expansion pipeline, product adoption, customer advocacy, reviews, events, and advisory programs. Build lifecycle journeys, customer segments, advocacy initiatives, and enterprise upsell and cross-sell campaigns in partnership with Sales, Customer Success, Product Marketing, Campaigns, Demand Generation, and Marketing Operations. The role is hands-on, data-driven, and focused on measurable pipeline, adoption, and advocacy outcomes.

Leads Helium 10’s global product management function across the United States and China. Owns roadmap development, innovation delivery, customer discovery, AI-native product development, and direct-to-consumer and omnichannel expansion. Manages product managers, drives cross-functional execution with engineering and design, partners on commercialization, and ensures initiatives deliver measurable business outcomes. Requires deep marketplace and SaaS expertise, strong customer discovery skills, analytical rigor, and experience launching net-new products.