12 ai implementation engineer jobs at 10 companies in Newfane, NY

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AI Solutions Engineer
Montréal or Toronto or Vancouver
HybridFull Time
Connor, Clark & Lunn Financial Group
Connor, Clark & Lunn Financial Group: Independent asset management firm providing traditional and alternative investment strategies.
Design and implement AI assistants and workflows; collaborate with Data Engineering and MLOps; hybrid work.
Python, LangChain, LlamaIndex, Azure OpenAI, Vertex AI, Anthropic APIs, MLOps, RAG, vector databases, PDF processing
1mo
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SoC Physical Design Implementation Lead
Markham, Ontario, Canada
$164k-$281k/yr HybridFull Time
AMD
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Seasoned SoC physical design expert for full-chip strategy and execution on advanced nodes (3nm/2nm), chiplets and 3D stacking; PPA optimization, sign-off, AI/data-driven automation, CAD tool expertise, and scripting skills.
Synopsys, Cadence, Mentor Graphics, Tcl, Perl, Shell
1mo
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AI and Automation Solution Engineer
Toronto, Ontario, Canada
$80k-$100k/yr HybridFull Time
People Corporation
People Corporation: Provides group benefits, retirement, and human resource solutions.
3+ YOE3+ years enterprise implementation experience; bachelor's degree; experience with Azure OpenAI/LLMs, Copilot, Power Platform, APIs, CI/CD, security; strong communication and problem-solving skills.
Copilot Studio, Microsoft 365 Copilot, Azure AI, GitHub Copilot, Power Platform, Power Automate, Power Apps, Python, JavaScript, C#, GitHub, Azure DevOps, Azure Functions, Logic Apps, APIs, Active Directory
2mo
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AI Deployment Strategist
Austin or Paris or London or New York City or Toronto or San Francisco
HybridFull Time
Pigment
Pigment: AI-powered business planning and performance management platform.
2+ YOEEngineering/CS degree, 2+ years in technical client-facing or implementation roles, strong data modeling and AI/ML knowledge, proficiency with formulas/structured modeling; Python/SQL a plus; familiarity with APIs and data pipelines.
Python, SQL, Pigment
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AI Deployment Strategist
Toronto, Ontario, Canada
HybridFull Time
Pigment
Pigment: AI-powered business planning and performance management platform.
2+ YOEEngineering/CS degree from a top-tier institution, 2–5 years in technical client-facing or implementation roles, strong analytical skills, data modeling and AI/ML experience, proficiency with formulas/logic and programming (Python/SQL), familiarity with SaaS, APIs, and data pipelines.
Python, SQL, Pigment
3w
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Product Engineer
Denver or Toronto
$85k-$165k/yr HybridFull Time
Sitetracker
Sitetracker: Software for managing large-scale infrastructure projects.
Experienced software engineer to design and implement scalable AI-driven product features, own features end-to-end, work with LLMs, write tests and monitoring, and collaborate across teams.
Large Language Models (LLMs)
2mo
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AI Deployment Strategist
London or Paris or New York or Toronto or San Francisco or Austin
HybridFull Time
Pigment
Pigment: AI-powered business planning and performance management platform.
2+ YOEEngineering or computer science degree; 2–5 years in a technical, client-facing, or implementation role; strong analytical/problem-solving; proficiency in formulas, logic, and structured modeling; programming in Python/SQL; familiarity with SaaS, APIs, data pipelines; ability to manage multiple stakeholders.
Python, SQL, APIs, Data Modeling, SaaS platforms
3w
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Staff Software Engineer
Toronto or Calgary
OnsiteFull Time
Royal Bank of Canada
Royal Bank of CanadaTSX: RY: Provides personal, commercial, and investment banking services worldwide.
Design and implement scalable AI services and distributed systems; expertise in APIs, microservices, containerization, cloud deployment, Python/Golang, observability, and ML model serving.
Python, Golang, Docker, Kubernetes, OpenShift Container Platform (OCP4), AWS, Azure, MongoDB, SQL Databases, CI/CD, Application Performance Management (APM), Agentic AI
5d
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Tech Lead - Forward Deployed Engineering
Toronto, Ontario, Canada
RemoteFull Time
Magical
Magical: Automates healthcare administrative workflows using agentic AI.
Significant hands-on software, FDE, solutions, systems integration, or implementation engineering experience; technical leadership on complex customer deployments; strong debugging, systems thinking, coaching, and communication skills.
AI, AI agents, multi-agent systems
1mo
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Sr. Prototyping Architect, AWS Prototyping and AI Customer Engineering (PACE)
Toronto, Ontario, Canada
$146k-$212k/yr OnsiteFull Time
Amazon
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
7+ YOE7+ years designing and implementing applications/infrastructure, knowledge of cloud architecture, experience building Generative/Agentic AI prototypes, and ability to advise customers on LLM/agent design.
Bedrock, SageMaker, Q Developer, Cursor, Kiro, Cline, Windsurf
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Solution Architect - CCaaS
Toronto or Ottawa or Calgary or Vancouver or Montreal
$99k-$210k/yr HybridFull Time
Accenture
AccentureNYSE: ACN: Global provider of management consulting and technology services.
7+ YOE7+ years designing and delivering enterprise CCaaS/contact center solutions; 5+ years in solution architecture or technical implementation; bachelor\u0002s degree or equivalent experience; expertise with NICE CXone and cloud conversational AI; strong JavaScript, API, integration, and security skills.
NICE CXone, Genesys, Amazon Connect, Twilio, Avaya, Cisco, Cognigy.AI, Google CCAI, Amazon Lex, JavaScript, REST APIs, Postman, Swagger/OpenAPI, API gateways, Salesforce, ServiceNow, Zendesk, SAP, OAuth 2.0, JWT, mTLS, Git, HTML, CSS, Lucidchart, Miro, draw.io, Terraform, Docker, Kubernetes, Nuance, Google, AWS, Azure, Deepgram
2mo
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Principal Technical Consultant
Toronto, Ontario, Canada
OnsiteFull Time
Appian
AppianNASDAQ: APPN: Provides a low-code platform for enterprise-grade process automation.
7+ YOE7+ years of hands-on software development or technical consulting; BS/BA in engineering or related field; travel willingness; strong communication and leadership in post-sale implementations.
REST, SOAP, AWS, Google Cloud, JDBC, SQL, APIs, AI, Machine Learning, Appian