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Ai Applications Engineer Jobs in Springfield, MA

The AI Principal Engineer (IC Director) is responsible for leading the design, development, and ... applications, retrieval-augmented generation (RAG) pipelines, and model-driven services. * Own ...

The AI Principal Engineer (IC Director) is responsible for leading the design, development, and ... applications, retrieval-augmented generation (RAG) pipelines, and model-driven services. * Own ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with ...

Senior Applied AI Engineer

Holyoke, MA · On-site

$141K - $171K/yr

As a Senior Applied AI Engineer, you will operate at the intersection of power systems engineering ... Experience with generative AI and LLM-based applications (e.g., RAG, tool use, agent frameworks)

The AI Principal Engineer (IC Director) role is responsible for leading the design and delivery of ... applications, retrieval pipelines, and model-driven services * Own technical direction for major ...

AI Principal Engineer

Windsor, CT · On-site

$149K - $198K/yr

The AI Principal Engineer (IC Director) role is responsible for leading the design and delivery of ... applications, retrieval pipelines, and model-driven services * Own technical direction for major ...

This Senior AI Engineer will be instrumental to design, develop, and lead enterprise-grade ... Develop applications using LangChain and monitor, evaluate, and debug workflows using LangSmith

AWS and AI Engineer

Hartford, CT · On-site

$110 - $160/hr

... AI Engineering|AI/ML Solution Architecture and Design Technical Skills 4 Technology|OpenSystem ... Participate in coding and integrate new features or updates into existing applications, with a ...

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Showing results 41-60

Ai Applications Engineer information

See Springfield, MA salary details

$50.3K

$110.3K

$151.5K

How much do ai applications engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for ai applications engineer in Springfield, MA is $110,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,700.00 and $134,500.00 per year, depending on experience, location, and employer.

What is an AI applications engineer?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.

What are the key skills and qualifications needed to thrive as an AI applications engineer?

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

How does an AI applications engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

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

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What does an AI applications engineer do?

An AI applications engineer designs, develops, and implements artificial intelligence solutions to solve specific business problems. They work with machine learning models, data processing, and programming tools like Python or TensorFlow, often collaborating with data scientists and software developers to deploy AI systems effectively.

What are popular job titles related to Ai Applications Engineer jobs in Springfield, MA?

For Ai Applications Engineer jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Ai Applications Engineer jobs in Springfield, MA look for?

The top searched job categories for Ai Applications Engineer jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Ai Applications Engineer jobs?

Cities near Springfield, MA with the most Ai Applications Engineer job openings:

Infographic showing various Ai Applications Engineer job openings in Springfield, MA as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $110,311 per year, or $53 per hour.

Senior Technical Marketing Engineer- API Security

Akamai Technologies, Inc.

Hartford, CT • On-site

$119.60 - $215.40/hr

Other

Medical, Retirement, PTO

Posted 9 days ago


Akamai Technologies rating

8.0

Company rating: 8.0 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

123rd of 245 rated software companies


Job description

Would you like to help organizations secure the APIs, AI applications, and agentic systems that power modern business?

Are you excited about turning hands-on security expertise into credible technical content, demonstrations, and product marketing programs?

Be Part of Our Security Product Marketing Team

As APIs and AI agents transform how digital experiences and business processes are built, they also expand the attack surface and introduce new security risks. This role helps customers, partners, and internal teams understand and evaluate Akamai's API, AI, and agentic security solutions through technically credible demonstrations, content, enablement, and thought leadership. By building and operating products in practical environments, you will help showcase how Akamai protects modern applications, APIs, and agent-driven interactions.

Partner with the best

As the technical voice of the Security Product Marketing team, you will develop implementation-level expertise in Akamai's API Security portfolio and emerging AI and agent security capabilities. Working across Product Marketing, Product Management, Engineering, and Solution Engineering, you will translate hands-on product knowledge into clear technical positioning, proof, demonstrations, and reusable assets. You will provide the technical depth, evidence, validation, and demonstrations that make product narratives, launches, campaigns, and sales programs credible with technical buyers.

As a Technical Marketing Engineer, you will be responsible for:

  • Deploying, configuring, and operating Akamai security products in lab and production like environments to understand and document capabilities, limitations, integration requirements, and configuration patterns

  • Building and maintaining proof-of-concept environments, reference architectures, API attack simulations, and agentic workflow scenarios that demonstrate real-world security challenges

  • Creating reusable product demonstrations, hands-on labs, workshops, technical training, and proof-of-concept playbooks for customers, partners, and field teams

  • Partnering with Product Marketing to translate product capabilities into technical positioning, solution briefs, launch and campaign content, sales narratives, and other assets for technical buyers, including helping launch new products and capabilities

  • Developing technical blogs, white papers, implementation guides, integration documentation, and architecture content for API Security, Application Security, and AI and agent security solutions

  • Reviewing and validating technical claims in messaging, sales enablement, launch materials, and analyst content to ensure they are accurate, defensible, and supported by product capabilities

  • Delivering product demonstrations, technical-buyer briefings, analyst technical deep dives, presentations, and workshops for customers, partners, internal stakeholders, security practitioner communities, and select industry events

  • Collaborating with Product Management, Engineering, and Solution Engineering to understand the roadmap, test product capabilities and limits, and translate customer and field feedback into actionable product input

Do what you love

To be successful in this role you will:

  • Have 8 years of relevant experience in a hands-on role such as Technical Marketing Engineer, Solutions Engineer, Solutions Architect, Security Engineer, Systems Engineer, DevOps or Platform Engineer, or Technical Product Manager including customer-facing or market-facing experience and a Bachelor’s degree or its equivalent

  • Bringing hands-on experience or strong working knowledge of AI agents, large language model (LLM) application security, agent discovery, agent-to-tool and agent-to-API interactions

  • Demonstrating expertise in API Security, Web Application and API Protection (WAAP), the OWASP API Security Top 10, API gateways, runtime security, and traffic analysis

  • Demonstrating the ability to independently deploy, configure, operate, and troubleshoot security, cloud, or application infrastructure

  • Building compelling demonstrations, proof-of-concept environments, hands-on labs, and technical content that simplify complex security concepts and connect product capabilities to customer challenges

  • Communicating complex technical information effectively to security practitioners, architects, executives, analysts, and cross-functional teams, applying curiosity, sound judgement, and independent problem-solving in rapidly evolving environments

Build your career at Akamai

Our ability to shape digital life today relies on developing exceptional people like you. The kind that can turn impossible into possible. We’re doing everything we can to make Akamai a great place to work. A place where you can learn, grow and have a meaningful impact.

With our company moving so fast, it’s important that you’re able to build new skills, explore new roles, and try out different opportunities. There are so many different ways to build your career at Akamai, and we want to support you as much as possible. We have all kinds of development opportunities available, from programs such as GROW and Mentoring, to internal events like the APEX Expo and tools such as Linkedin Learning, all to help you expand your knowledge and experience here.

Learn more

Compensation

Akamai is committed to fair and equitable compensation practices. For US based candidates only - the base salary for this position ranges from $119,600 - $215,400/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Akamai provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation (in the form of PTO), sick time, family friendly benefits including parental leave and an employee assistance program including a focus on mental and financial wellness; Eligibility requirements apply.

Equal Employment Opportunity Rights

Akamai Technologies is an Affiantive Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of gender, gender identity, sexual orientation, race/ethnicity, protected veteran status, disability, or other protected group status.

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