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Senior Deployment Engineer Jobs in California (NOW HIRING)

Senior Forward Deployment Engineer

Palo Alto, CA ยท On-site

$122K - $168K/yr

... Engineer (Sr. FDE) atUniphore, you will take technical ownership of strategic AI solution deployments andleadthe architecture, prototyping, and delivery of customer-specific applications on our ...

Senior Staff Network Engineer, Deployment

Sunnyvale, CA ยท On-site

$122K - $167K/yr

About this Role Crusoe Cloud is seeking a Senior Staff Network Deployment Engineer to serve as the technical owner of how we deploy network infrastructure across our global fleet. As we rapidly scale ...

About the team The AI Deployment Engineering (ADE) team ensures the safe and effective deployment ... Work with senior SI and customer stakeholders to identify the best applications of GenAI in their ...

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Senior Deployment Engineer information

What does a senior deployment engineer do?

A Senior Deployment Engineer is responsible for overseeing and executing the deployment of software applications, systems, or updates into production environments. They collaborate with development, QA, and operations teams to ensure smooth and efficient releases, often automating deployment processes and troubleshooting issues that arise. Senior Deployment Engineers also create and maintain deployment documentation, implement best practices for continuous integration and deployment (CI/CD), and may mentor junior team members. Their role is crucial for minimizing downtime and ensuring high-quality software delivery.

What are the key skills and qualifications needed to thrive as a senior deployment engineer?

To thrive as a Senior Deployment Engineer, you need expertise in software deployment processes, scripting languages (such as Python or Bash), and a strong understanding of CI/CD pipelines, typically supported by a degree in computer science or related experience. Familiarity with deployment automation tools (like Jenkins, Ansible, or Kubernetes), cloud platforms (AWS, Azure), and infrastructure-as-code systems is crucial. Strong problem-solving abilities, attention to detail, and effective communication help you manage complex deployments and collaborate across teams. These skills ensure reliable, scalable, and secure delivery of applications, minimizing downtime and supporting business goals.

What are some common challenges faced by senior deployment engineers during large-scale software rollouts?

Senior Deployment Engineers often encounter challenges such as coordinating across multiple teams to ensure seamless integration, managing unexpected issues that arise during the rollout, and ensuring minimal downtime for end users. They also need to handle complex infrastructure environments and adapt deployment strategies to suit different systems and technologies. Strong communication skills and proactive planning are essential to navigate these challenges effectively.

What are the most commonly searched types of Deployment Engineer jobs in California?

The most popular types of Deployment Engineer jobs in California are:

What cities in California are hiring for Senior Deployment Engineer jobs?

Cities in California with the most Senior Deployment Engineer job openings:

Senior Forward Deployment Engineer

Uniphore Technologies North America Inc

Palo Alto, CA โ€ข On-site

$140.40 - $193.05/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

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Job description

Uniphore is one of the largest B2B AI-native companiesโ€”decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments. Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data. As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.

Job Description: Location: Palo Alto, CA Department: Engineering Reports To: Director, Forward Deployed Engineering

About Uniphore

Uniphore is The Business AI Company. We enable businesses to rapidly adopt, significantly transform and immediately unlock value through AI. Inspired by the simplicity of consumer AI and with a deep understanding of the scalability and security required for businesses โ€“ we provide a platform that allows business users to effortlessly harness agentic AI, tapping into enterprise knowledge that is grounded in their own proprietary data. Through our core principles of providing composable, sovereign and secure AI, we are committed to unlocking AIโ€™s potential as a transformative force for businesses โ€“ with openness, trust, and scalability provided by an AI solution that is unmatched by any other.

Our Business AI Cloud is a complete AI platform to power the Agentic Enterprise. It unifies data, knowledge, models, and agents in a secure, composable stack โ€” enabling business users to deploy AI agents instantly and IT leaders to scale trusted, enterprise-grade applications.

About the Role

As a Senior Forward Deployed Engineer (Sr. FDE) at Uniphore, you will take technical ownership of strategic AI solution deployments and lead the architecture, prototyping, and delivery of customer-specific applications on our Agentic AI platform. This role demands a deep technical skillset, sharp solution thinking, and the ability to guide both customers and internal teams through complex, high-stakes AI projects. You're not just coding - you're solving some of the most exciting challenges and problem solving in enterprise AI rollout, spanning enterprise data pipelines, multi-agent orchestration/workflows and RAG/SLM finetuning.

Responsibilities
  • Lead the technical solution design and implementation of large-scale Agentic and Knowledge AI solutions for key enterprise clients.
  • Act as the primary technical point of contact during solution development and post-deployment optimization.
  • Own and execute projects end-to-end: from integration design to agent workflows and full-stack delivery.
  • Customize platform components as neededโ€”integrating new APIs, building reusable tooling, or extending platform logic.
  • Collaborate closely with cross-functional teams internally and with customers to ensure solution success.
  • Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points.
  • Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation.
  • Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents.
  • Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi-modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security/guardrails and broader landscape of Enterprise & Agentic AI.
Qualifications
  • Undergraduate, masterโ€™s degree or Phd in Computer Science or Data Science 6โ€“10+ years of experience in engineering, with 2+ years in customer-facing or field roles.
  • Proven success building and deploying AI/ML or data-intensive applications in production.
  • Deep full-stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD).
  • Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc).
  • Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI)
  • Knowledge of SLM Finetuning and Distillation is big advantage.
  • Experience and knowledge of Agentic development platforms and experience building and delivery enterprise agentic solutions is a huge advantage.
  • Ability to translate ambiguous customer needs into actionable engineering plans.
  • Strong leadership, mentoring, and project ownership abilities.
  • Excellent communication and collaboration across technical and business stakeholders.

Hiring Range: $140,400 - $193,050 for Primary Location of USA - CA - Palo Alto

Location preference: USA - CA - Palo Alto

Benefits
  • competitive base pay
  • annual incentive opportunity based on target achievement
  • pre-IPO stock options
  • medical
  • dental
  • vision
  • 401(k) with a match
  • generous paid time off
  • paid holidays
  • paid day off for your birthday
  • other paid leave policies to support employees through all phases of life.

Uniphore is an equal opportunity employer committed to diversity in the workplace.

We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

For more information on how Uniphore uses AI to unifyโ€”and humanizeโ€”every enterprise experience, please visitwww.uniphore.com.

At Uniphore, we are building the defining Enterprise AI and automation platform to propel the planetโ€™s most engaging customer and employee experiences. We need your help.

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