Fidelity will not provide immigration sponsorship for this position.
Job Description:
Cognitive Computing Platform AI/ML Engineering – Principal Engineer
You will be part of the platform team responsible for the creation and support of the Cognitive Computing Platform. This platform allows customers to interact with Fidelity in natural language across all the channels that are important to them.
The Role
We are looking for an experienced principal AI/ML engineer with interest towards supporting the growing need in the Cognitive Computing Platform Knowledge Enablement area.
On software engineering side, the candidate should have large scale enterprise software delivery experience, be familiar with Fidelity software delivery methodologies, DevOps tools, and best practices.
On ML Engineering side, the candidate will be working together with a group of full-time data scientists, experimenting with a variety of NLP data analysis methods, using a variety of machine learning tools and frameworks, building, and implementing models. Previous knowledge and experience in MLOps related area is highly preferred.
The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
The Team
As part of the team, you will architect and lead teams to implement solutions that enable customers to get the most out of what Fidelity can offer at Enterprise scale and across Fidelity’s Businesses. You will create intuitive and highly engaging conversational experiences that enable today's digitally savvy consumer to take control of their finances and feel confident in the choices that they.
The Expertise You Have
- Demonstrated Hands On Experience with the following is required, as well as leading teams implementing:
- Software development and delivery cycle
- Architecting large scale systems
- Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure, GCP
- NodeJS or Python
- REST APIs
- Experience with the following areas:
- Building and evaluating Natural Language Processing Related Machine Learning Models
- MLOps in automating Machine Learning Model services refreshing cycle
- Integrating Machine Learning Model services with existing runtime conversation handling system
- Education / Certifications
- Advanced education on computer science / data science related field or equivalent experience
- Relevant experience working in financial service industry focused on IT solutions
- Cloud (AWS, GCP, Azure etc….)
The Skills You Bring
- Your ability to lead teams from conception to production
- Your ability and desire to learn new technologies
- Your ability to synthesize business need into scalable technology solutions
- Your ability to work across organizations and preserve good outcomes
- Your desire and aptitude for learning new technology and approaches
- Your ability to operate in a polyglot development environment
- Your excellent verbal and written communication skills
The Value You Deliver
- Setting architecture direction of omni-channel experiences using novel technologies
- Implementing scalable and differentiated solutions on a scrum team benefiting multiple business units
- Working across an empowered and autonomous organization to get the best outcomes
- Promoting a developer culture of quality / sustainability through automation
- Coaching team members to achieve organizational goals
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.
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.
Skills Required
- Hands-on experience with the software development and delivery lifecycle
- Experience architecting large-scale systems
- Experience with cloud technologies, including Docker, Kubernetes, AWS, Azure, or GCP
- Proficiency with NodeJS or Python
- Experience building and evaluating natural language processing machine learning models
- Experience with MLOps and automating machine learning model service refresh cycles
- Experience integrating machine learning model services with runtime conversation-handling systems
- Advanced education in computer science or data science, or equivalent experience
- Relevant experience in the financial services industry focused on IT solutions
- Experience leading teams from conception through production
- Excellent verbal and written communication skills
Fidelity Investments Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity Investments and has not been reviewed or approved by Fidelity Investments.
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Retirement Support — Retirement contributions and benefits are frequently highlighted as a strong part of the total rewards package. Employer retirement support is seen as materially enhancing overall compensation.
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Strong & Reliable Incentives — Profit sharing and bonuses are commonly described as valuable additions to pay. These incentives help the total compensation feel more competitive even when base salaries are viewed as moderate.
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Healthcare Strength — Health coverage is often called out as a positive aspect of the benefits package. Access to solid healthcare benefits contributes to satisfaction with total compensation.
Fidelity Investments Insights
What We Do
At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products. Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.
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