## Full Description

Company Description
Nexariza AI is a technology partner specializing in enterprise-grade Artificial Intelligence, SaaS platforms, and digital transformation solutions. With a focus on collaboration with global enterprises, startups, and government organizations, we design cutting-edge solutions that drive growth and innovation. Our core services include AI & Machine Learning Solutions, EnterpriseSoftware Development, Data-Driven Business Intelligence, Web & Mobile App Development, and AI-Powered Business Transformation.
Role Description
This is a full-time Comission-Based remote role for a Business Development Manager at Nexariza AI. The Business Development Manager will be responsible for identifying new business opportunities, building and maintaining client relationships, developing growth strategies, and closing sales deals. They will also collaborate with the engineering team to understand technical aspects of solutions and tailor offerings to meet client needs.
Qualifications
2+ years of experience in Business Development, Sales, or Client Acquisition
Proven experience in managing client relationships and closing deals
Strong communication and negotiation skills
Ability to work independently and meet targets
Basic understanding of technology and AI solutions
If you are interested in this role fill out this form:
https://forms.gle/mrSYAy3NH8QgmTts7

## Listing

SWBC / AI Intern / SWBC · San Antonio, TX, United States · via LinkedIn / 2 days ago / Part-time

## Qualifications

The ideal candidate has hands-on experience with Python and foundational ML/GenAI concepts, and is eager to learn how production AI systems are built and maintained

## Serious Candidates Will Possess The Minimum Qualifications

Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field (undergraduate or graduate welcome)

## Benefits

As an SWBC intern, you will be learning on the job in real-time from talented professionals within the financial services industry Competitive overall compensation package Work/Life balance

## Responsibilities

This internship will focus on building AI-powered applications and product features, contributing to MLOps workflows, and helping deploy and monitor models in an AWS environment We will develop, teach, mentor, and support your efforts throughout the internship. Our interns are given projects that are impactful and meaningful to SWBC, so interns will feel they are a valued team member of our SWBC family Build AI-enabled applications and prototypes leveraging generative AI and ML capabilities (e.g., retrieval-augmented generation, summarization, classification)

## Description

SWBC is seeking talented students to join our College Intern Program in San Antonio, Texas. This is an exciting opportunity for college students who are motivated and eager to learn within their educational field of study.

We’re seeking an AI Intern to support the design, development, and operationalization of Generative AI and machine learning solutions. This internship will focus on building AI-powered applications and product features, contributing to MLOps workflows, and helping deploy and monitor models in an AWS environment. The ideal candidate has hands-on experience with Python and foundational ML/GenAI concepts, and is eager to learn how production AI systems are built and maintained.

## Why You'll Love This Role

As an SWBC intern, you will be learning on the job in real-time from talented professionals within the financial services industry. We will develop, teach, mentor, and support your efforts throughout the internship. Our interns are given projects that are impactful and meaningful to SWBC, so interns will feel they are a valued team member of our SWBC family.

## Essential Duties Include The Following

- Build AI-enabled applications and prototypes leveraging generative AI and ML capabilities (e.g., retrieval-augmented generation, summarization, classification).

- Assist with MLOps pipelines: data/model versioning, training workflows, evaluation, packaging, and deployment processes.

- Support deployment and operations of models/services on AWS, including environment setup, basic CI/CD integration, and operational readiness tasks.

- Develop and maintain Python components such as APIs, inference services, evaluation scripts, and tooling.

- Participate in model testing and evaluation, including prompt experiments, performance benchmarking, and quality monitoring.

- Help document designs, experiments, and results; contribute to team standards and best practices.

- Collaborate with engineers and product stakeholders to translate requirements into deliverable AI features.

## Serious Candidates Will Possess The Minimum Qualifications

- Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field (undergraduate or graduate welcome).

- Expected graduation date of December 2026 or later.

- Some hands-on experience with: Python (e.g., scripting, notebooks, basic software practices), ML/GenAI fundamentals (e.g., embeddings, transformers concepts, evaluation basics)

- Familiarity with at least one of the following: AWS (e.g., S3, IAM, Lambda, EC2, CloudWatch, ECR, SageMaker, Jupyter notebooks), Basic API development (Flask/FastAPI), Git and collaborative development workflows

- Strong communication skills and ability to work effectively in a corporate, cross-functional environment.

- Exposure to MLOps tools and practices (CI/CD, model registries, experiment tracking, monitoring).

- Experience with LLM application patterns, such as: Retrieval-Augmented Generation (RAG), Prompt engineering, prompt evaluation, guardrails

- Familiarity with containerization (Docker) and orchestration concepts.

- Understanding of software engineering fundamentals (unit tests, code reviews, documentation).

- Deliver working prototypes or production-ready components that demonstrate measurable improvements (e.g., faster iteration, higher quality responses, improved reliability).

- Contribute to repeatable, documented workflows for building and deploying AI solutions.

- Collaborate effectively with the team and communicate progress clearly.

SWBC offers*:

- Competitive overall compensation package

- Work/Life balance

- Employee engagement activities and recognition awards

- Years of Service awards

- Career enhancement and growth opportunities

- Leadership Academy and Mentor Program

- Continuing education and career certifications

- Variety of healthcare coverage options

- Traditional and Roth 401(k) retirement plans

- Lucrative Wellness Program

- Based upon employee eligibility

## Additional Information

SWBC is a Substance-Free Workplace and requires pre-employment drug testing.

Please note, SWBC does not hire tobacco users as allowed by law.

To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

## Listing

Visa / Analyst, Generative AI / Visa · Dubai - United Arab Emirates · via Naukrigulf / 5 days ago / Full-time

## Description

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, driving tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments, and economics, VCA solves the most strategic problems for our clients.VCA is currently undergoing an AI transformation - embedding generative AI into how we work, how we deliver, and what we offer. This role is a hands-on contributor to that transformation. You will work hands-on alongside consultants and managers, building practical AI-powered tools and automations that make our delivery better, faster, and more scalable. You should be comfortable learning new technologies quickly and working in an environment where things change week to week.The role will be based in Dubai.Specific Responsibilities Include Build and deploy AI agents, skills, and automated workflows that support VCA consulting delivery. Integrate LLMs (Claude, GPT, Gemini) into internal tools and client-facing solutions via APIs and SDKs.Develop RAG pipelines and knowledge retrieval systems to make our content and data accessible through AI interfaces. Prototype new GenAI use cases quickly - test ideas, get feedback, iterate. Help maintain and improve existing AI tools and automations as models and frameworks evolve. Support consultants in adopting AI tools: build guides, run demos, pair with team members on specific tasks. Stay current with GenAI developments and bring relevant new capabilities to the team. Basic Qualifications: 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)Preferred Qualifications:3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related STEM field. 2 - 3 years of experience working with code in a professional or project setting.Hands-on experience building with GenAI technologies - not just chatting with them, but writing code that calls APIs, chains prompts, uses tools, or builds agents.Solid Python skills.Familiarity with JavaScript or TypeScript is a plus. Working knowledge of at least some of: LLM APIs, prompt engineering, agent frameworks, vector databases, or RAG patterns.Demonstrated ability to learn fast and apply new tools productively with minimal hand-holding.High energy, curiosity, and willingness to work in a fast-paced environment where priorities shift.Good communication skills - ability to explain technical work to non-technical colleagues.Fluency in English is mandatory; Russian or Arabic is a plus.Consulting experience (internship or full-time) at a management consulting firm, bank, or fintech.Personal projects or GitHub portfolio showing GenAI work (agents, bots, tools, integrations).Experience with agentic frameworks (Claude Agent SDK, LangChain/LangGraph, CrewAI, or similar).Familiarity with cloud platforms (AWS, GCP, Azure) and basic DevOps (containers, CI/CD).Interest in payments, fintech, or financial services.

## Listing

Bell / Electrical Engineer-Data Centre Design & Planning / Bell · Vancouver, BC · via LinkedIn / 4 days ago / Full-time

## Description

Req Id: 429982

Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we’re building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day.

We believe in empowering people. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact If you’re inspired by innovation that advances how people connect and transforms what’s possible, you belong on #TeamBell.

## Summary

We are seeking an experienced Electrical Engineer to help power Bell’s groundbreaking national AI Fabric program—an ambitious, first of its kind initiative that will position Canada as a global leader in Sovereign AI. This program is building a secure, high performance, coast to coast AI compute fabric that will accelerate innovation, strengthen national technological independence, and enable the next generation of AI driven services. In this role, you will design and shape the electrical backbone of advanced data centres that support massive GPU clusters, mission critical AI workloads, and the most demanding digital infrastructure in the country. This is a rare opportunity to contribute to a high impact national mission while applying deep technical expertise to systems that will define the future of Canadian AI capability.

## Key Responsibilities

- Lead the design, review, and optimization of electrical systems for new data centre builds, expansions, and retrofits.

- Develop single line diagrams, load calculations, power distribution layouts, and protection coordination studies.

- Evaluate and plan electrical infrastructure including MV/LV switchgear, UPS systems, generators, PDUs, RPPs, grounding, and redundancy configurations (N, N+1, 2N, 2N+1).

- Collaborate with architects, mechanical engineers, facility operations teams, and external partners to ensure designs meet performance, safety, and compliance requirements.

- Participate in site assessments, capacity planning, and operational audits to determine infrastructure readiness and alignment with design standards.

- Provide technical guidance on procurement specifications for electrical equipment and ensure vendor solutions meet engineering requirements.

- Support commissioning efforts including FAT, SAT, and integrated systems testing.

- Identify electrical risks and propose design improvements to increase resiliency, efficiency, and scalability.

- Maintain up to date documentation, including design packages, operational procedures, and as built drawings.

- Contribute to long term infrastructure planning aligned with organizational growth and emerging compute workloads (AI/ML, HPC, GPU clusters).

## Critical Qualifications

- Bachelor’s degree in Electrical Engineering; P.Eng or eligibility for professional licensure preferred.

- 5–10+ years of experience in electrical design for mission critical facilities (data centres, telecom, industrial power systems).

- Strong understanding of power distribution, emergency/backup systems, UPS technologies, and switchgear operation.

- Familiarity with relevant codes and standards (CSA, OESC, IEEE, NEC/NFPA, TIA 942).

- Experience with high density and high availability environments (AI compute, GPU clusters) is an asset.

- Proficiency with design and modeling tools (AutoCAD, Revit, ETAP, SKM, or similar).

- Excellent communication and stakeholder management skills; able to collaborate across engineering, operations, and vendor teams.

- Strong analytical and problem solving abilities with a focus on reliability, safety, and operational excellence.

## Preferred Qualifications

- Experience supporting operational teams in troubleshooting or planning electrical maintenance activities.

- Knowledge of energy optimization strategies, power usage effectiveness (PUE), and sustainability initiatives.

- Background in planning and supporting large scale infrastructure deployments.

Adequate knowledge of French is required for positions in Quebec.

## Additional Information

Position Type: Management Job Status: Regular - Full TimeJob Location: Canada : Ontario : Mississauga || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Toronto || Canada : Quebec : Montreal || Canada : Saskatchewan : Regina

Work Arrangement: Hybrid

Application Deadline: 05/22/2026

For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

Please apply directly online to be considered for this role. Applications through email will not be accepted.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

At Bell, we are proud of our focus on fostering an inclusive and accessible workplace where all team members feel valued, respected, supported, and that they belong.

Bell is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise. We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements.If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

Created: Canada, ON, Toronto

Bell, one of Canada's Top 100 Employers.

## Listing

TRC Talent Solutions / AI Backend Developer / TRC Talent Solutions · Atlanta, GA, United States · via LinkedIn / 6 hours ago / US$85–US$95 an hour / Contractor / No Degree Mentioned

## Qualifications

4+ years of backend software engineering experience Strong hands-on development experience with Python, Node.js, and/or Java Experience integrating with Anthropic Claude APIs, Claude Enterprise, or similar enterprise LLM platforms

## Responsibilities

We are seeking a highly adaptable Claude Enterprise Back End Developer to lead rapid AI pilot initiatives and backend automation efforts focused on administrative, financial, and operational workflows This individual will transform disconnected scripts, macros, and manual processes into secure, scalable AI-enabled systems leveraging enterprise LLM technologies, backend services, and workflow orchestration Lead rapid 60–90 day proof-of-value AI initiatives focused on workflow automation and operational efficiency

## Description

TRC Talent Solutions is partnering with a rapidly growing healthcare organization making major investments in enterprise AI enablement and workflow modernization. This organization is focused on execution over theory, seeking professionals who can rapidly eliminate operational friction and deliver scalable AI-powered backend solutions that create immediate business impact.

This is a highly visible, hands-on engineering role working directly alongside executive leadership. The environment is fast-moving, agile, and intentionally lean, allowing developers to bypass traditional bureaucracy and quickly build impactful solutions.

## About the Role

We are seeking a highly adaptable Claude Enterprise Back End Developer to lead rapid AI pilot initiatives and backend automation efforts focused on administrative, financial, and operational workflows.

This individual will transform disconnected scripts, macros, and manual processes into secure, scalable AI-enabled systems leveraging enterprise LLM technologies, backend services, and workflow orchestration.

## Responsibilities

- Lead rapid 60–90 day proof-of-value AI initiatives focused on workflow automation and operational efficiency

- Build secure integrations utilizing Anthropic Claude Enterprise APIs, tool-use capabilities, and function calling

- Develop scalable backend services using Python, Node.js, and/or Java

- Design and maintain secure REST APIs and orchestration layers

- Containerize applications and workflows using Docker

- Support lightweight Azure cloud deployments and backend infrastructure

- Replace legacy macros and manual processes with scalable automation workflows

- Build solutions supporting invoice processing, document workflows, and revenue cycle management (RCM)

- Collaborate directly with executive leadership and business stakeholders to rapidly iterate on solutions

## Requirements

- 4+ years of backend software engineering experience

- Strong hands-on development experience with Python, Node.js, and/or Java

- Experience integrating with Anthropic Claude APIs, Claude Enterprise, or similar enterprise LLM platforms

- Experience building secure RESTful APIs and backend integrations

- Working knowledge of Docker containerization

- Familiarity with Azure deployments and cloud infrastructure fundamentals

- Strong understanding of API orchestration, JSON parsing, and workflow automation

- Ability to thrive in fast-paced, highly agile development environments

TRC Talent Solutions is proud to be an Equal Opportunity Employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. At TRC, we take pride in fulfilling our opportunity to add value to our client's business as their staffing partner, while working tirelessly to connect thousands of individuals each year with work opportunities where they can meet the needs of their families and have the potential to build their careers.

## Listing

Royal Bank of Canada / Associate Director, AI Risk Governance / Royal Bank of Canada · Toronto, ON · via RBC Careers / 21 hours ago / Full-time / No Degree Mentioned

## Description

What is the opportunity

This role will play a key role in shaping RBC’s evolving AI risk governance approach. The successful candidate will support the execution of RBC’s AI risk strategy and governance initiatives while maintaining RBC’s desired risk profile. The role supports the continued evolution and implementation of RBC’s AI risk governance framework (including related policies and standards), oversight on internal policy and external regulatory developments related to AI, and the reporting of AI portfolio and thematic insights on risk associated with AI adoption. . It provide exposure to emerging AI risk governance, risk strategy, regulatory development, and also cross-functional leadership discussions.

What will you do

- AI governance framework development: support the evolution, development and implementation of RBC’s AI risk governance approach, including related policies, standards and governance processes.

- AI Risk strategy execution: Drive awareness of, including supporting the embedding of, new ownership, roles, responsibilities, and accountabilities across business lines/functions in relation to AI; support the execution of AI risk strategy (aligning governance and risk frameworks) and lead relevant components as assigned.

- Risk oversight: Partner with 1LOD and 2LOD stakeholders to support consistent identification, assessment, and management of AI-related risks and controls

- Emerging risk and regulatory monitoring: Monitor emerging Ai regulatory, industry, and risk developments and translate insights into practical governance considerations and enterprise guidance

- Reporting and portfolio monitoring: Support the development of AI portfolio reporting and monitoring capabilities, including AI inventory monitoring and portfolio insights.

- ESG Risk governance: Support ESG risk governance activities as required and where skills and expertise can be leveraged

What do you need to succeed

Must-have

- 5+ years of experience in risk management, operations, and/or technology environments with the ability to align and think holistically about governance and risk while considering broader business needs and AI strategies

- AI/ML Knowledge: Awareness of AI/ML technologies and associated risks

- Risk Management Experience: strong understanding of governance and risk management concepts, preferably experience working in Operational Risk, Model Risk Management and/or Technology Risk in regulated environments

- Stakeholder Management: Ability to communicate and collaborate with cross-functional stakeholders and navigate a matrixed environment

- Leadership / Soft Skills: Have a collaborative mind-set, ability to lead without authority, good verbal and written communications, analytical and critical thinking skills

## Nice-to-have

- Professional designation (e.g., CPA, Certified Internal Auditor)

- Ability to manage complex projects, meet high-quality standards, and deliver under tight deadlines.

- Governance and Policy Design: Ability to design and implement frameworks that balance innovation with control. Proven experience with enterprise-wide projects with sound knowledge of RBC’s business lines and activities.

- Regulatory Fluency: Familiarity with evolving global AI regulatory landscapes

What’s in it for you

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation

- Leaders who support your development through coaching and managing opportunities

- Work in a dynamic, collaborative, progressive, and high-performing team

- Opportunities to do challenging work

- Flexible work/life balance options

## Job Skills

AI Agent Governance, AI Governance, Business Performance Management, Risk Management, Risk Management Strategies, Risk Policies, Risk Profile, Standard Operating Procedure (SOP)

## Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

## Employment Type

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-27

Application Deadline:

2026-06-13

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

## Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

## Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

## Listing

Toloka Annotators / AI Training Specialist (Egocentric Video) / Toloka Annotators · Vancouver, BC · via Jooble / 3 days ago / Part-time

## Description

This is a project-based opportunity on an AI training platform — not a job. No fixed hours, no commitment beyond what fits your schedule. You record, you get paid.

## About the Role

We're looking for people to record point-of-view videos of everyday household activities. You mount your smartphone on your head, go about your routine, and the camera captures exactly what you see. These videos help train AI systems and robots to understand how people interact with objects in real-world environments.

Do you wash dishes every day Vacuum the rug Walk the dog Fold laundry What if you could get paid just for recording it

## Responsibilities

- Record everyday household activities from a first-person perspective — cooking, cleaning, tidying up, folding laundry, gardening, walking the dog, and more

- Record in your own home, yard, garage, or workspace

- Follow short recording guidelines per session

- Upload videos through the project app

## Requirements

- Equipment: Own or use a smartphone or alternative camera device capable of 30 FPS or greater and 1080p resolution or greater. iPhone 11 or newer, Google Pixel 6+, or Samsung Galaxy S21+ (must have a wide-angle / 0.5x lens)

- Capture method: Mount the device at forehead or eye-level for an egocentric perspective, maintaining a downward angle to maximize hand visibility.

- Software: Utilize the designated "D&A" application for all data capture and upload.

- Quality control: Ensure all video footage is clear, stable, well-lit, at least 15 seconds long, and accurately depicts useful, intentional tasks without unnecessary pauses or contrived movements.

Why is this freelance opportunity a great fit for you

- Earn while you do your household chores: up to $8 per hour equivalent depending on the project

- This is project-based freelance work — pick up recording sessions when they fit your schedule

- Influence the future of how AI and robots understand and interact with the real world

## Listing

Global Corporation / AI Software Engineer / Global Corporation · Dubai - United Arab Emirates · via GulfTalent.com / 6 days ago / Full-time

## Description

A new opportunity has come up with a fast-growing AI technology company based in Dubai, UAE.

They are looking to hire an AI software engineer / AI developer to join their growing technical team.

The AI software engineer / AI developer will be responsible for developing and integrating AI-driven solutions into software applications. This role involves working closely with engineering and data teams to deploy scalable AI models and support the development of intelligent systems.

Key responsibilities

- Design, develop, and deploy AI-powered software applications and services

- Integrate machine learning models into backend systems, APIs, and platforms

- Collaborate with data scientists, product teams, and software engineers to operationalize AI solutions

- Develop and maintain clean, scalable, and well-documented code

- Optimize AI models and software performance for production environments

- Work with cloud platforms and deployment pipelines for AI applications

- Conduct testing, debugging, and continuous improvement of AI-driven features

- Stay up to date with emerging AI technologies, frameworks, and best practices

## Requirements

- Bachelor's degree in Computer Science, AI, Software Engineering, or a related field

- 2 to 5 years of experience in AI development or software engineering

- Mandatory UAE experience in a relevant technical role

- Strong programming skills in Python (other languages are an advantage)

- Experience with AI/ML frameworks such as TensorFlow or PyTorch

- Familiarity with cloud platforms (AWS, Azure, or GCP)

- Strong problem-solving and analytical skills

## Work location

Dubai, UAE

## Listing

Manulife / Lead Data Solution Architect, Wealth Technology / Manulife · Toronto, ON · via Careers At Manulife / 5 days ago / Full-time / No Degree Mentioned

## Description

Join our Wealth Technology Architecture team!

We want to foster and create diverse thinking and perspectives to drive innovative solutions. We recognize that sometimes we must embrace ambiguity, creative abrasions, and productive friction, to then help drive clarity. Above all, we strive to be leaders of influence. We invite you to join our team bringing your passion, high level of curiosity and capacity to constantly learn from both failure and success, remaining open to change and continuous improvement.

As the Senior Solution Architect responsible for the Fund Administration domain, you will develop and maintain our leading investment vehicle management capabilities. You will provide Business context, direction and facilitate the development of technology architecture required to align and meet business needs.

In this role, developing relationships with enterprise leaders both within business and IT groups is very important to facilitate better collaboration, bring clarity to complex problems and improve decision making.

As the role of Artificial Intelligence continues to evolve, you will craft solutions using AI. Additionally, you will use Manulife's internal AI tools to increase your own productivity.

## Position Responsibilities

- Collaborating with Product and Technology teams in Fund Administration to craft architectures which drive the customer experience, optimize costs, creates efficiencies, and deliver measurable business outcomes.

- Applying in-depth knowledge of architecture, software engineering, cloud technologies and data engineering, to define target architectures, patterns and processes.

- Designing for both functional and non-functional qualities, including availability, resiliency, security, privacy, etc.

- Ability to manage pragmatic modernization and lead conceptual, solution, and component-level architectures and associated artifacts.

- Human Centered Design / UX principles.

- Developing reference architecture and reference implementation patterns.

- Mentoring and growing other technologists within the firm.

- Contributing to or leading definition of standards, guidance, and points-of-view that enable engineers to thrive and cross-enterprise thinking to become the norm.

- Presenting architecture and innovative ideas to executive leadership for the purposes of alignment and key decision making.

## Required Qualifications

- 8-10 years in a similar role in a Financial Services company.

- Enterprise-level engineering or architecture experience delivering integrated solutions.

- Experience with and knowledge of common Architecture patterns and models.

- Ability to own architecture and influence strategic direction and vision for the future.

- Desire and ability to understand the Fund Administration and Transfer Agent business domains.

- Desire to develop architectures that meet the current and anticipated business needs in those domains.

- Ability to evaluate new technologies and know the latest industry trends.

- Good judgment and the ability to handle high pressure situations.

- Experience with data and application integration approaches (passionate about business context, APIs, messaging, streaming, sync/async). Experience addressing operational and non-functional concerns (e.g. horizontal & vertical scalability, performance, maintainability, load distribution, resilience, recovery, security and privacy).

- Experience with Cloud Native Architecture and Infrastructure Patterns.

- Knowledge of the enterprise technology space: languages, frameworks, techniques, and industry trends.

- Ability to devise, develop and apply innovative technology to solutions that would benefit our clients.

- Refined presentation and communication skills and expertise interfacing and communicating effectively with both engineers and executives.

- Experience managing architecture governance boards collaborating with other architects and engineers.

- A strong software engineering and/or architecture background is required.

## Preferred Technical Domains

- Azure Data Lake Services

- Azure Data Factory

- Databricks

- Power Apps

- Informatica EDL

- Markit EDM

- Charles River

- SQL

## When you join our team

We’ll empower you to learn and grow the career you want.

We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

As part of our global team, we’ll support you in shaping the future you want to see.

If you are applying to this role in Canada, please note the salary range is $113,260 to $210,340 CAD. Additionally, employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.

The role being advertised is an existing vacancy.

Giới thiệu về Manulife và John Hancock

Tập đoàn Manulife Financial là nhà cung cấp dịch vụ tài chính quốc tế hàng đầu giúp mọi người quyết định dễ dàng hơn và có cuộc sống vẹn toàn hơn. Để tìm hiểu thêm về chúng tôi, hãy truy cập https://www.manulife.com.vn/.

Manulife là Nhà sử dụng lao động không phân biệt đối xử

Tại Manulife/John Hancock, chúng tôi luôn đón nhận sự đa dạng. Chúng ta cố gắng thu hút, phát triển và duy trì lực lượng lao động đa dạng tương tự như những khách hàng mà chúng ta phục vụ, đồng thời thúc đẩy một môi trường làm việc hòa nhập, đề cao thế mạnh của từng nền văn hóa và cá nhân. Chúng ta cam kết tuyển dụng, duy trì, thăng tiến và trả lương một cách công bằng. Đồng thời, chúng ta quản lý tất cả các hoạt động và chương trình của mình mà không phân biệt đối xử dựa trên chủng tộc, dòng họ, xuất thân, màu da, nguồn gốc dân tộc, quyền công dân, tôn giáo hoặc tín ngưỡng tôn giáo, đức tin, giới tính (bao gồm phụ nữ mang thai và các tình trạng liên quan đến mang thai), xu hướng tính dục, đặc điểm di truyền, tình trạng cựu chiến binh, bản dạng giới, biểu hiện giới, tuổi tác, tình trạng hôn nhân, tình trạng gia đình, khuyết tật hoặc bất kỳ căn cứ nào khác được pháp luật hiện hành bảo vệ.

Ưu tiên của chúng ta là loại bỏ các rào cản để đem lại cơ hội tiếp cận việc làm bình đẳng. Đại diện Bộ phận Nhân sự sẽ làm việc với những ứng viên có yêu cầu điều chỉnh hợp lý trong quá trình ứng tuyển. Tất cả thông tin được chia sẻ trong quá trình yêu cầu điều chỉnh sẽ được lưu trữ và sử dụng tuân theo pháp luật hiện hành và chính sách của Manulife/John Hancock. Để yêu cầu điều chỉnh hợp lý trong quá trình ứng tuyển, hãy liên hệ với hr@manulife.com.

Referenced Salary Location Boston, Massachusetts

Working Arrangement

Kết hợp

Salary range is expected to be between $127,330.00 USD - $236,470.00 USD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify

Company: John Hancock Life Insurance Company (U.S.A.)

## Listing

Client Server / Lead AI Engineer Python LLM - Tech Consultancy / Client Server · London, United Kingdom · via LinkedIn / 1 day ago / Full-time

## Description

Lead AI Engineer (Python LLM MLOps) London / WFH to £125k

Are you an experienced Software Engineer with a strong knowledge of AI, LLMs and agentic coding

You could be progressing your career at a global finance technology consultancy, working with clients including global Investment Banks and financial services organisations.

## What's In It For You

- Salary to £125k

- Pension, Life Assurance, Income Protection

- Private medical care for you and your family, including mental health

- Travel Insurance

- Charitable giving

- Gym membership for you and your family

- Flexible holiday scheme

## Your Role

As a Lead AI Engineer you will architect AI solutions, embed them within enterprise environments and drive impactful outcomes through advanced engineering, scalable pipelines and deep cross-functional collaboration.

This is a highly technical role where you'll be leading client projects, productionising systems and running multi-modal LLMs, using your expertise to build and deploy cutting-edge generative AI and agentic systems across the financial services sector.

## About You

- You have hands-on experience deploying LLMs and multi-modal models at scale in production

- You have a strong understanding of scalable MLOps, observability and cloud-native AI deployment

- You have strong Python coding skills and API development skills

- You're collaborative and pragmatic with advanced stakeholder communication, problem-solving and project management skills in Agile environments

- You have achieved a 2.1 or above bachelor's degree in Computer Science, AI or related STEM disciplines

- Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques

### Qualifications

2–5 years building digital, automation, or AI‑enabled solutions in a practical environment

Proven experience developing lightweight applications, workflows, or automation tools

Strong working knowledge of: 8 more items(s)

### Responsibilities

You will help redefine how work gets done by embedding AI into real workflows — turning manual, fragmented processes into scalable, intelligent delivery systems

Your work won’t sit in a lab — it will be adopted across global projects, teams, and clients

Turn real consulting challenges into working AI solutions used in live delivery

13 more items(s)

## Job Description

What if your ability to build with AI could directly transform how global sustainability challenges are solved?

At ERM, this isn’t experimental work on the sidelines — this is embedding AI into the core of consulting delivery, at scale, across industries and geographies.

We’re hiring AI Solutions Engineers to join our global AI Accelerator team — a small, high‑impact group building practical, deployable solutions that consulting teams actually use. If you are someone who moves quickly from idea to working solution, and care about real‑world impact over proof‑of‑concepts, this role is built for you.

Why This Role Matters

Sustainability consulting is evolving rapidly — but delivery models are still catching up.

This role exists to close that gap.

You will help redefine how work gets done by embedding AI into real workflows — turning manual, fragmented processes into scalable, intelligent delivery systems. Your work won’t sit in a lab — it will be adopted across global projects, teams, and clients.

What Your Impact Is

• Turn real consulting challenges into working AI solutions used in live delivery

• Build repeatable accelerators that scale impact across regions and sectors

• Reduce manual effort and unlock higher‑value consulting time

• Enable teams to adopt AI with confidence through hands‑on solutions, not theory

• Influence how ERM operationalises responsible, enterprise‑ready AI at scale

Required

What You'll Bring

• 2–5 years building digital, automation, or AI‑enabled solutions in a practical environment

• Proven experience developing lightweight applications, workflows, or automation tools

• Strong working knowledge of:

• Python, SQL, or JavaScript/TypeScript

• Low/no‑code tools (e.g. Power Platform, n8n, Streamlit)

• Hands‑on use of AI development tools (e.g. ChatGPT, GitHub Copilot, Cursor, Claude)

• Experience working with APIs, integrations, and workflow orchestration

• Ability to translate ambiguous business problems into working technical solutions

• Strong communication skills with the ability to work directly with non‑technical stakeholders

• Comfortable operating in fast‑moving, loosely defined environments

• Degree in Computer Science, Engineering, Data Science, or related field

Preferred

• Experience in consulting or client‑facing delivery environments

• Exposure to sustainability, ESG, EHS, or operational reporting workflows

• Familiarity with:

• LangChain / LangGraph / LLM orchestration frameworks

• Cloud platforms (Azure, AWS, GCP, Azure OpenAI)

• Power BI, Tableau, or similar tools

• Understanding of responsible AI, governance, and data protection principles

• Experience building reusable solutions adopted across teams or regions

Key Responsibilities

• Work directly with consulting teams to identify repeatable challenges and inefficiencies

• Design and build AI‑enabled workflows, automations, dashboards, and micro‑applications

• Develop reusable assets (prompts, templates, accelerators) for global deployment

• Leverage LLMs and AI coding tools to rapidly prototype and iterate solutions

• Translate business needs into practical, scalable technical solutions

• Support adoption through demos, coaching, and hands‑on enablement

• Evaluate when solutions should be scaled, standardised, or integrated into enterprise platforms

• Ensure all solutions align with data governance and responsible AI principles

• Contribute to AI Accelerator best practices and innovation pipelines

Where You’ll Work

Global opportunities across:?North America | Continental Europe | India | LATAM?Who We Are:?As the largest global pure play sustainability consultancy, we partner with the world’s leading organizations, creating innovative solutions to sustainability challenges and unlocking commercial opportunities that meet the needs of today while preserving opportunity for future generations.

At ERM we know that creating a diverse, equitable and inclusive work environment is an essential part of making our company a great place to build a career. We also see our diversity as a strength that helps us create better solutions for our clients. Our diverse team of world-class experts supports clients across the breadth of their organizations to operationalize sustainability, underpinned by our deep technical expertise in addressing their environmental, health, safety, risk and social issues. We call this capability our “boots to boardroom” approach for its comprehensive service model that allows ERM to develop strategic and technical solutions that advance objectives on the ground or at the executive level.

Please submit your resume and brief cover letter.

ERM does not accept recruiting agency resumes. Please do not forward resumes to our jobs alias, ERM employees or any other company location. ERM is not responsible for any fees related to unsolicited resumes.

ERM is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Thank you for your interest in ERM!

Business Success Manager

Full Description

Qualifications

Zero to AI Engineer