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Engineered Intelligence Jobs (NOW HIRING)

Apply all-source intelligence tradecraft and technical analysis to create system models from circuit diagrams, schematics, source code, signal processing algorithms, and reverse-engineered components

Apply all-source intelligence tradecraft and technical analysis to create system models from circuit diagrams, schematics, source code, signal processing algorithms, and reverse-engineered components

Apply all-source intelligence tradecraft and technical analysis to create system models from circuit diagrams, schematics, source code, signal processing algorithms, and reverse-engineered components

Apply all-source intelligence tradecraft and technical analysis to create system models from circuit diagrams, schematics, source code, signal processing algorithms, and reverse-engineered components

Apply all-source intelligence tradecraft and technical analysis to create system models from circuit diagrams, schematics, source code, signal processing algorithms, and reverse-engineered components

Apply all-source intelligence tradecraft and technical analysis to create system models from circuit diagrams, schematics, source code, signal processing algorithms, and reverse-engineered components

Apply all-source intelligence tradecraft and technical analysis to create system models from circuit diagrams, schematics, source code, signal processing algorithms, and reverse-engineered components

Showing results 21-40

Engineered Intelligence information

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$45.5K

$104.6K

$144K

How much do engineered intelligence jobs pay per year?

As of Aug 10, 2026, the average yearly pay for engineered intelligence in the United States is $104,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What is the difference between Engineered Intelligence vs Data Scientist?

AspectEngineered IntelligenceData Scientist
Required CredentialsBachelor's or master's in computer science, AI, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work EnvironmentDeveloping AI systems, programming, and deploying intelligent solutionsAnalyzing data, building models, and deriving insights
Industry UsageTech, manufacturing, healthcare, and AI-focused companiesFinance, marketing, tech, and research sectors

Engineered Intelligence professionals focus on designing and implementing AI systems, while Data Scientists analyze data to inform decisions. Both roles require strong technical skills, but their core functions differ: one builds intelligent solutions, the other interprets data insights.

More about Engineered Intelligence jobs
What cities are hiring for Engineered Intelligence jobs? Cities with the most Engineered Intelligence job openings:
What states have the most Engineered Intelligence jobs? States with the most job openings for Engineered Intelligence jobs include:
Infographic showing various Engineered Intelligence job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $104,643 per year, or $50.3 per hour.

Software Engineer, Intelligence

Sierra

San Francisco, CA • On-site

Full-time

Re-posted 16 days ago


Job description

Job Summary:
Sierra is creating a platform to enhance customer experiences using AI, primarily operating from San Francisco. They are seeking a Software Engineer to build the Intelligence layer, focusing on analyzing agent interactions and developing systems for insights and performance improvements.
Responsibilities:
• Build the Intelligence layer at Sierra. You’ll work on systems that analyze millions of agent interactions and generate insights that improve agent performance and customer outcomes.
• Turn conversations into insights. You’ll build systems for analyzing, clustering, and exploring large-scale conversational data.
• Enable evaluation and experimentation. You’ll design systems that allow us and our customers to measure agent quality and run experiments.
• Develop learning systems. You’ll work on retrieval, ranking, personalization, and feedback loops that make agents more effective over time.
Qualifications:
Required:
• A passion for being on the frontier of AI products.
• Strong software engineering fundamentals and experience building production systems.
• Experience working with data systems, analytics, or machine learning-driven products.
• Motivation and high-agency to drive outcomes in a fast-moving environment.
• 4+ years hands-on experience building production systems or data products.
• Degree in Computer Science or related field, or equivalent professional experience.
Preferred:
• Experience with retrieval, ranking, or recommendation systems.
• Experience building analytics or data exploration tools.
• Experience working with large-scale data systems.
• Experience building AI-powered products.
Company:
Sierra helps businesses to build and deploy AI agents that communicate with users across channels such as chat, voice, email, and messaging. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.