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Ai Algorithm Engineer Jobs in Pennsylvania (NOW HIRING)

Techstra Solutions

AI Engineer

Pittsburgh, PA · On-site

Role Overview The AI Engineer will be responsible for designing, building, deploying, certifying ... Proficient in backend development using AI algorithms. Python, Java, Shell, Linux or Node.js, MCP ...

Gehc

AI Scientist

North East, PA · On-site

Demonstrating algorithms to meet accuracy requirements on general subject population through ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

Gehc

AI Scientist

North East, PA

Demonstrating algorithms to meet accuracy requirements on general subject population through ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

Gehc

AI Scientist

North East, PA

Demonstrating algorithms to meet accuracy requirements on general subject population through ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

URBN

URBN Staff Data Engineer

Philadelphia, PA · On-site

... AI-powered digital experiences. We are looking for an experienced data Engineer to join our mission of integrating algorithmic solutions with creative tools. In this unique opportunity, you will use ...

URBN

URBN Staff Data Engineer

Philadelphia, PA · On-site

... AI-powered digital experiences. We are looking for an experienced data Engineer to join our mission of integrating algorithmic solutions with creative tools. In this unique opportunity, you will use ...

Decision Six Inc.

AI/ML Engineer

West Chester, PA

Solid understanding of machine learning algorithms and techniques, including supervised and ... AI/ML engineering or a related role. * Proven experience in developing and deploying machine ...

URBN

URBN Staff Software Engineer

Philadelphia, PA · On-site

Champion best practices in full-stack algorithm engineering Role Qualifications * AI-Augmented Development: Proficient in leveraging AI-powered development tools (e.g., Cursor, VS Code Copilot ...

URBN

URBN Staff Software Engineer

Philadelphia, PA · On-site

Champion best practices in full-stack algorithm engineering Role Qualifications * AI-Augmented Development: Proficient in leveraging AI-powered development tools (e.g., Cursor, VS Code Copilot ...

Jade Global

Software AI Engineer

North Wales, PA · Remote

Design, develop, and implement AI/ML models and algorithms using Python. Deploy and manage AI ... Collaborate with data scientists and other engineers to integrate AI models into existing systems.

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Ai Algorithm Engineer information

How much do AI automation engineers make?

AI automation engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to have higher salaries.

What are some common challenges AI Algorithm Engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

What are the key skills and qualifications needed to thrive as an AI Algorithm Engineer, and why are they important?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What does an AI algorithm engineer do?

An AI algorithm engineer designs, develops, and optimizes algorithms that enable machines to perform tasks such as learning, reasoning, and decision-making. They work with machine learning models, data processing, and programming languages like Python or C++, often using tools like TensorFlow or PyTorch, to create effective AI solutions. Strong analytical skills and knowledge of data structures are essential for this role.

What engineers make $500,000?

Senior AI algorithm engineers with extensive experience, advanced skills in machine learning, deep learning, and data science, and often working in high-demand industries or at leading tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at executive or specialized levels.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a highly senior or specialized role such as an AI research director, chief AI officer, or senior machine learning executive, often in large tech companies or financial institutions. These positions usually require extensive experience, advanced skills in machine learning, deep learning, and data science, and may include leadership responsibilities and strategic decision-making.

What are AI Algorithm Engineers?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.
What are popular job titles related to Ai Algorithm Engineer jobs in Pennsylvania? For Ai Algorithm Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Ai Algorithm Engineer jobs in Pennsylvania look for? The top searched job categories for Ai Algorithm Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Ai Algorithm Engineer jobs? Cities in Pennsylvania with the most Ai Algorithm Engineer job openings:
Ai Algorithm Engineer jobs near you
Infographic showing various Ai Algorithm Engineer job openings in Pennsylvania as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 85% Physical, 8% Hybrid, and 7% Remote job distribution.
AI Engineer

AI Engineer

Techstra Solutions

Pittsburgh, PA • On-site

Full-time

Posted 14 days ago

Job description

Role Overview
The AI Engineer will be responsible for designing, building, deploying, certifying, and maintaining production-grade generative AI and agentic business and technology solutions.
Key Responsibilities
  • Design, create, and implement reusable AI frameworks, prompt templates, reference architecture, and reference architectures to accelerate AI solution delivery across teams.
  • Lead the full stack end-to-end development of custom AI solutions leveraging knowledge of MLOps, context management, and CICD practices to orchestrate AI agents and technology (e.g., Copilot AI, Snowflake AI, GitHub AI, AWS Bedrock, etc).
  • Collaborate with cloud, data and security architecture teams to build secure, extensible solutions
Required Qualifications/Skills
  • 10 years of overall experience in software engineering, data science, or related technical roles, with strong proficiency in coding, business and system design, and production deployment.
  • A minimum of 1-2 years of hands-on experience building and deploying systems, preferably generative AI solutions, in enterprise environments
  • Bachelor's degree in Artificial Intelligence, Data Science, or related field or equivalent work experience
  • Industry certification or eligibility preferred
  • Proficient in backend development using AI algorithms. Python, Java, Shell, Linux or Node.js, MCP, APIs, knowledge graphs, vector databases, & data structures
  • Demonstrated knowledge of MLOps, model lifecycle, and (CI/CD) practices.
  • Designed and implemented full-stack AI solutions using modern MLOps and AI frameworks (e.g RAG) and platforms such as GitHub Agent, Snowflake Agents, Copilot Studio and AWS Bedrock.
  • Created reusable frameworks, prompt templates, and reference architectures to accelerate AI solution delivery across teams.
  • Knowledge of data query, analysis, and scanning tools and techniques
  • Strong interpersonal, written and oral communication, and analytical skills
  • Ability to manage multiple priorities, work independently, coordinate work assignments with management throughout the organization and reliably meet commitments
  • Strong aptitude for technology and an ability to learn quickly

Locations: Pittsburgh, PA
About Techstra Solutions
Techstra Solutions is a certified woman-owned (WBENC) management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. Our experienced team partners with clients to co-create innovative solutions in applications, data, AI, and automation that accelerate measurable, sustainable change. From advisory consulting through technical execution, we are dedicated to driving world-class business solutions that fit your strategic requirements and deliver results. For more information: www.techstrasolutions.com
Equal Employment Opportunity Statement
Techstra Solutions is an equal opportunity employer. The Company makes its decisions on merit, and its policy of equal opportunity prohibits discrimination in all phases of the employment process, including, but not limited to, recruitment, hiring, promotion, selection, transfer, demotion, layoff, termination, compensation, benefits, and other terms and conditions of employment. The policy of equal opportunity applies without regard to race, color, creed, religion, gender, sexual orientation, gender identification, pregnancy, marital status, national origin, ancestry, age, disability that can reasonably be accommodated without undue hardship, military status, veteran status, genetic predisposition or carrier status, alienage or citizenship, domestic partnership status, arrest or conviction record, status as a victim of domestic violence, or any other protected categories under federal, state, or local law. The Company also prohibits discrimination or harassment based upon the perception that a person has, or is associated with a person who has, any of these characteristics.

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