Team Lead – AI Engineering at TEEMA
Canada, Alberta, Canada -
Full Time


Start Date

Immediate

Expiry Date

02 Feb, 27

Salary

78000.0

Posted On

04 Nov, 26

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description

ob Title: Team Lead, AI Engineering

Job ID: 90811

Location: Halifax, Nova Scotia – HybridOverview:

Our client provides specialist financial services to alternative investment funds, investors, multinationals and private clients worldwide. With over 10,000 employees in 45 countries, they innovative solutions to meet clients’ evolving needs and deliver exceptional service. Armed with superior services, smart people, and strong technology, they tackle customers’ complicated challenges by developing sophisticated solutions driven directly by demand. The result? Innovation that generates tangible value and makes a real difference for clients and their companies. As a core member of our technology team, you will work with dedicated professionals to build and support secure, cloud-native and AI-enabled applications for the financial services industry. Our AI Engineering teams use modern software engineering practices, AI-assisted development, and cross-functional collaboration to deliver reliable solutions while maintaining clear human ownership of quality and to ensure our clients maintain access to their critical information assets while keeping ahead of industry trends.What you will be doing:

You will lead a cross-functional AI engineering team responsible for designing, building and supporting secure, cloud-native and AI-enabled applications for financial services. You will establish the technical direction, engineering standards and delivery practices for the Canadian AI Engineering team while partnering closely with business leaders to expand our client’s Document Intelligence platform and AI-enabled operational capabilities.

Team Leadership

  • Build and grow a high-performing AI Engineering team through hiring, coaching, mentoring and capability development.
  • Technical LeadershipYou will guide the delivery of cloud-native, machine-learning and generative AI solutions, ensuring architecture decisions, implementation patterns and engineering standards are fit for production.

Business Leadership

  • Partner with business stakeholders and functional leaders to identify automation opportunities, define AI product roadmaps and prioritize initiatives with measurable business value.

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Responsibilities
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