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Genai Engineer Jobs in Dedham, MA (NOW HIRING)

Fidelity Investments

Director, GenAI Technology

Boston, MA · On-site

$126K/yr

  • Medical

  • Retirement

  • PTO

The GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated applied GenAI engineer/data scientist with proven experience in machine learning, GenAI-related ...

XPO

Data Scientist (GenAI Solutions) - Hybrid

Boston, MA

  • Medical

  • Life

  • Retirement

  • PTO

Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc ... Build, deploy, and scale GenAI chatbots and AI assistants across the organization to improve how ...

Trinity Life Sciences

Forward Deployed Engineer

Waltham, MA · On-site

$128K - $192K/yr

Manager, Engineering Hybrid - Waltham (MA) or NYC, Princeton, NJ or East Norriton, PA We are hiring a Manager, Engineering to join our growing team building transformative GenAI-driven products for ...

1 point system

Senior AI/Automation Engineer

Boston, MA · On-site

$113K - $148K/yr

AI-Enabled SDLC Transformation · Define and execute a GenAI-augmented SDLC strategy, embedding AI ... engineering standards o Agent-based orchestration patterns o Secure model invocation and policy ...

Moderna, Inc.

Senior AI Engineer

Cambridge, MA · On-site

$114K - $156K/yr

  • PTO

The role requires demonstrated experience shipping scalable AI/ML/GenAI systems, APIs, and data ... Establish engineering practices for AI/ML/LLMOps, including automated testing, CI/CD ...

Moderna Therapeutics

Senior AI Engineer

Cambridge, MA · On-site

$114K - $156K/yr

  • PTO

The role requires demonstrated experience shipping scalable AI/ML/GenAI systems, APIs, and data ... Establish engineering practices for AI/ML/LLMOps, including automated testing, CI/CD ...

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Genai Engineer information

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What cities near Dedham, MA are hiring for Genai Engineer jobs?

Cities near Dedham, MA with the most Genai Engineer job openings:

Genai Engineer jobs near you

Director, GenAI Technology

Fidelity Investments

Boston, MA • On-site

$126K/yr

Full-time

Medical, Retirement, PTO

Re-posted 25 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

16th of 150 rated financial services

Job description

Job Description:Note: Fidelity will not provide immigration sponsorship for this positionThe RoleThis is an individual contributor applied GenAI engineer/data science (with a focus on GenAI) role. The GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated applied GenAI engineer/data scientist with proven experience in machine learning, GenAI-related projects, application building and data science. In this role, the individual leads machine learning projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems.

You will have:

PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 4 years plus of industrial experience.

Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding

Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools

Experience taking an application from research to production and realizing measurable value from it to the team or firm

Ability to work on and drive progress for multiple projects at the same time

Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions

Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results

Excellent planning, project management, leadership, and research skills

Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations

Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges

The Team

We are a GenAI technology team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from research to production. We enjoy learning new skills and appreciate the challenges that come from working with state of the art AI models.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $126,000-255,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:Category:Data Analytics and Insights

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