Computational Cognitive Science Jobs in California

The Opportunity
We are seeking a creative and technically skilled Prompt Engineer to enhance large language model (LLM) performance across business-critical workflows. This position centers on designing, testing, and integrating strategies that drive intelligent agents and enterprise use cases. You will work closely with AI engineers, product teams, and domain experts to guarantee scalable, safe, and high-accuracy AI applications.
What you'll Do
Prompt Strategy & Design

• Develop templates and multi-step chains tailored to specific business functions (e.g., sales enablement, support, knowledge management)
• Develop few-shot, zero-shot, and hybrid patterns for enhanced reasoning and context retention
• Maintain libraries for reuse and version control

Function Calling & Tool Use

• Implement LLM function calling to trigger APIs, databases, or internal tools
• Build tool-use pipelines within agent workflows for complex task automation

Conversation Flow & Persona Design

• Define and build agent personas, roles, and behaviors for domain-specific applications
• Manage multi-turn conversations, memory handling, and contextual continuity

Enterprise-grade Optimization

• Tailor prompts for performance in enterprise environments, prioritizing accuracy, privacy, fairness, and compliance
• Collaborate with legal and security teams to mitigate hallucination, bias, and misuse risks

Testing & Evaluation

• Tailor prompts for performance in enterprise environments, prioritizing accuracy, privacy, fairness, and compliance
• Collaborate with legal and security teams to mitigate hallucination, bias, and misuse risks

Deployment & Integration

• Partner with AI Agent Engineers to integrate prompts into agent workflows and orchestration pipelines
• Maintain documentation and workflows for deployment in production environments

What you need to succeed

• 3+ years of experience in NLP, AI/ML product development, or application scripting
• Strong grasp of LLM capabilities and limitations (e.g., OpenAI, Claude, Mistral, Cohere)
• Experience crafting prompts and evaluation methods for enterprise tasks
• Familiarity with frameworks like LangChain, Semantic Kernel, or AutoGen
• Strong ML, Python and API integration skills
• Excellent written communication and structured thinking

Preferred Qualifications

• Experience with LLM function calling, custom tool integration, and agent workflows
• Background in UX writing, human-computer interaction, or instructional design
• Understanding of enterprise compliance (e.g., SOC 2, GDPR) in AI systems
• Bachelor's or equivalent experience in Computer Science, Computational Linguistics, Cognitive Science, or a related field

About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let's Adobe together
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AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $172,500 -- $306,625 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $211,800 - $306,625
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.