
Senior Manager, AI Enablement Engineer
Dallas, TXJobSeen todaySeen in employer's feed today
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At a glance
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Job overview
The Senior Manager, AI Enablement Engineering leads AI adoption and delivery for a business area, owning its AI opportunity portfolio and translating business priorities into scalable, production-ready capabilities. The role leads AI Enablement Leads and Engineers and partners with business leaders, data teams, governance, and AI Platform Engineering. It provides technical direction, advances reusable enterprise capabilities, and ensures solutions meet enterprise security, risk, Responsible AI, observability, and governance requirements.
Skills & qualifications
Skills
Qualifications
Full job description
Senior Manager, AI Enablement Engineer
Requisition ID: 278765
Salary Range: -
Please note that the Salary Range shown is a guideline only. Salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
Purpose
The Senior Manager, AI Enablement Engineering leads AI adoption and delivery for a designated business area, owning the AI opportunity portfolio and translating business priorities into scalable, production-ready AI capabilities. This role leads a pod of AI Enablement Leads and AI Enablement Engineers and partners closely with business leaders, data teams, governance and AI Platform Engineering.
What You'll Do
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Own and prioritize the business area's AI use-case portfolio, from discovery and intake through production and value realization.
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Partner with business leaders to identify high-value opportunities across GenAI, agentic AI, machine learning and automation.
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Provide technical direction on solution architecture, platform patterns and production readiness.
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Lead AI Enablement Leads and Engineers through rapid prototyping, architecture, evaluation and platform integration.
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Serve as the key interface with AI Platform Engineering, translating business demand into platform requirements and driving adoption of reusable enterprise capabilities.
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Ensure solutions meet enterprise requirements for security, risk, Responsible AI, observability and governance.
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Establish reusable patterns and accelerate successful use cases across the business.
Technical experience
Strong working knowledge of LLMs, agentic AI, RAG, MCP, vector search, agent orchestration, AI evaluation, Python/APIs, cloud AI platforms, Databricks, CI/CD, identity/security and observability.
What You'll Bring
Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field is required. A Master's degree (e.g., CS, AI/ML, or an MBA with a technical background) is preferred.
Equivalent hands-on experience leading AI or platform engineering teams is also considered.
Interested?
If your experience is closely related but does not align perfectly with every qualification, we encourage you to apply. You may be the right candidate for this or another opportunity at Scotiabank.
At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are, and embraced for their differences. We are committed to growing and diversifying talent and engaging employees in a performance-oriented culture.
What’s in It for You?
Scotiabank wants you to be able to bring your best self to work and life every day. With a focus on holistic well-being, our flexible benefit programs are designed to support your unique family, financial, physical, mental, and social health needs.
#Dallas
Location(s): United States : Texas : Dallas
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, pleaseclick here (https://www.scotiabank.com/careers/en/careers/technical-support-for-applicants.html) . Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
Scotiabank is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law.
How this job compares
Set against the 7,215 open Engineering jobs on Olive Jobs, counted November 7, 2026.
- Pay
- This postingNot listed
- Texas median$117–190K/yr192 salary ranges
- Texas median$32–54/hr43 hourly ranges
- Openings
- Olive Jobs lists 613 open Engineering jobs in Texas and 7,215 across the US. 3% of them nationwide are listed as remote or flexible.
- Experience
- Engineering postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 9 years (4,961 postings).
- Education
- 3,682 of the 7,215 open Engineering jobs (51%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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