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Added 3 days ago
LC
Senior Analyst, Loss Prevention Analytics
Loblaw Companies Limited
Brampton, ON
- Full-time
Collaborate with Fraud Analytics, Data Engineering, Technology and business partners to improve data access, analytical capabilities and fraud detection methods.
Added 3 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 3 days ago
K
SOC T3 Expert
Kyndryl
Barrie, ON
- Full-time
…delivery and agility and to ensure security topics (operations, engineering, risk, compliance) are integrated and automated…
Added 3 days ago
J
QA Test Engineer, Industrial
Jobgether
Canada
- Full-time
…automated test coverage for industrial software connectors and data integrations. In this hands-on engineering role, you will build automation frameworks, regression suites, and device and…
Added 3 days ago
J
Senior Solutions Architect
Jobgether
Canada
- Full-time
…implementations. In close partnership with Sales, Product, Engineering, and Public Safety teams, you will help shape solutions that connect customer needs with product capabilities. This…
Added 3 days ago
SC
Senior to Principal Geotechnical Engineer
SRK Consulting
Granby, QC
- $125,000 to $175,000 CAD / year
- Full-time
Experience with data science and coding (Python) is an asset.
Added 3 days ago
SC
Senior Environmental or Water Resources Engineer
SRK Consulting
Granby, QC
- $115,000 to $145,000 CAD / year
- Full-time
Experience with data science, coding (Python, R, Visual Basic), or AI (Claude Code) is an asset.
Added 3 days ago
IG
AI Engineer
Insight Global
Toronto, ON
- $50 to $55 CAD / hour
- Contract
- 2-3 years of experience in AI engineering, data engineering, or advanced analytics roles - Proven experience in financial services or banking environments - Strong experience with the…
Added 3 days ago
SC
Senior Engineer, Cloud Operations
Sleep Country
Brampton, ON
- Full-time
…Country’s multi-cloud environment. This position combines hands-on engineering with strategic problem-solving to design, build, and optimize cloud-based systems, while driving continuous…
Added 3 days ago
S
Machine Learning Engineer
Syntrace
Toronto, ON
- Full-time
- Strong Python and experience with modern deep learning frameworks.
Added 3 days ago
SF
Data Scientist, Behavioral Science & AI Evaluation
STAR FIND AI Inc.
Cambridge, ON · Greater Kitchener-Cambridge-Waterloo Metropolitan Area
- $92,000 to $100,000 CAD / year
- Full-time
Prepare and analyze data: Use Python, R, and SQL to extract, clean, organize, and analyze structured product events, user feedback, and authorized conversation evaluation datasets. Develop…
Added 3 days ago
I
Product Development / Design Engineer – Mechatronics
Inertia
Toronto, ON
- Full-time
ability to develop analytical models and perform data analysis, preferably with Python.
Added 3 days ago
S
Technical Consultant
SymphonyAI
UNAVAILABLE, Ontario
- Full-time
Build reliable data pipelines. Develop, validate, orchestrate, and deploy SQL- and Python-based pipelines with appropriate data quality checks, scheduling, documentation, and operational…
Added 3 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 3 days ago
TC
Senior Data Engineer - Partnership Intelligence
Two Circles
Vancouver, BC
- Full-time
7+ years of experience in software engineering with a data focus, working in a fast-paced, agile environment
Added 3 days ago
O
Senior AI Developer
OSEDEA
Montreal, QC
- Full-time
As a Senior AI Developer, you build production-grade AI features and systems for enterprise clients. You bring disciplined software development practices, strong applied AI skills, and the…
Added 3 days ago
O
Applied AI Scientist
OSEDEA
Montreal, QC
- Full-time
…that solve real client problems. You combine strong software engineering habits with hands-on AI/ML expertise, and you’re comfortable moving from exploration to production. You collaborate…
Added 3 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 3 days ago
TI
Semantic Modeler
TS Imagine
Montreal, QC
- Full-time
This is an opportunity to work at the intersection of data engineering, semantic modeling, and applied AI - on a product that is being defined as you build it. We have multiple openings…
Added 4 days ago
UO
Scientific Assistant
University of Victoria
Victoria, BC
- Full-time
…teaching and research laboratories supporting the Mechanical Engineering and Biomedical Engineering programs, as well as the Department's research-based and professional graduate programs,…
Added 4 days ago
AS
Software Developer
AgileGrid Solutions
Canada
- Full-time
…AWS, AWS CDK, observability, machine learning, Salesforce, and Python is valuable. The successful candidate will demonstrate adaptability, learning agility, clear written and verbal…
Added 4 days ago
AS
Senior Data Engineer
AgileGrid Solutions
Canada
- Full-time
Data and AI Technology (DAT) Engineering enables BMO’s digital-first strategy and supports its risk, regulatory, and compliance needs. The team develops data and AI products that deliver…
Added 4 days ago
O
FPGA AI Accelerator Engineer
O-HIVE.AI
Windsor, ON
- Full-time
We are seeking a talented and motivated FPGA Engineer to join our engineering team and contribute to the development of hardware-accelerated spatial vision and edge AI systems.
Added 4 days ago
E
Tests and Validations Specialists
EERS
Montreal, QC
- Full-time
5+ years of experience in test engineering (methodology, planning, reliability, data analysis, etc.)
Added 4 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.

SymphonyAI

Technical Consultant

UNAVAILABLE, UNAVAILABLE, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 1, 2027
Posting language: English
Posted: Nov 1, 2026

Original job description

Introduction

About SymphonyAI Financial Services

SymphonyAI Financial Services is on a mission to make the financial system safer. We combine more than 25 years of financial crime expertise with advanced AI to help financial institutions detect risk, fight financial crime, and navigate an increasingly complex regulatory environment.

We are reimagining financial crime compliance around connected risk intelligence, agent led workflows, and embedded governance, helping institutions strengthen controls, reduce manual effort, and adapt as risks evolve.

About The Role

Successful implementations depend on reliable configuration, clean data, and thoughtful technical support. That’s where you come in.

As a Technical Consultant, you’ll support the implementation and configuration of our financial crime and compliance platform across SaaS and client environments. Working from defined specifications and established runbooks, you’ll complete configuration, integration, testing, troubleshooting, and documentation tasks while partnering with senior consultants, engineers, and client technical contacts.

You’ll also use AI and LLM tools to accelerate documentation, analysis, and troubleshooting, validating outputs before they are used. This is a hands on role for someone with strong technical fundamentals who is ready to build implementation experience and take increasing ownership of assigned tasks.

Job Description

Responsibilities

Own technical delivery. Lead configuration, deployment, integration, and data pipeline activities for assigned client workstreams from requirements through OAT and production.

Translate requirements into solutions. Turn client business, regulatory, data, and security needs into clear technical specifications and implementation plans.

Build reliable data pipelines. Develop, validate, orchestrate, and deploy SQL- and Python-based pipelines with appropriate data quality checks, scheduling, documentation, and operational readiness.

Configure and deploy applications. Use GitHub, YAML, Helm, Kubernetes, and CI/CD practices to package, configure, and deploy solutions across SaaS and client environments.

Solve problems at the source. Use logs and root cause analysis to resolve moderately difficult issues across data, APIs, SAML/SSO, networking, deployment, and application configuration.

Support client acceptance. Plan and support SIT, UAT, OAT, technical reviews, validation, and production deployment while protecting delivery timelines, SLA commitments, and client acceptance.

Put AI to work. Use AI tools, LLMs, and RAG to accelerate technical workflows, pipeline development, validation, documentation, and troubleshooting while checking outputs for accuracy and suitability.

Integrate AI capabilities. Support model endpoints, data preparation, and AI or LLM API integration through REST endpoints or SDKs, and help monitor deployed AI solutions.

Partner across teams. Work closely with client stakeholders, Technical Program Managers, Solution Architects, Data Science, Engineering, and Product Delivery on decisions, risks, and scope.

Make progress visible. Provide proactive status updates on delivery, dependencies, risks, issues, and technical decisions to project sponsors and senior stakeholders.

Help others grow. Share implementation practices and mentor junior consultants while escalating architecture changes and material scope decisions to the appropriate senior owners.

You may be a good fit if you have

3 to 7 years of technical implementation experience with hands on delivery in enterprise or client-facing environments, including at least one deployment through UAT or one data pipeline delivered to production.

Strong SQL and data skills. You can build queries and pipelines, perform data validation and quality checks, and troubleshoot database or data integration issues.

Linux/Unix and scripting experience using Bash and the ability to read and troubleshoot Python, Java, or similar code.

Deployment and automation experience with Git, GitHub, CI/CD, YAML, Helm, and working knowledge of Kubernetes.

Integration experience with XML and JSON configuration, REST APIs, SAML/SSO, and basic networking concepts.

Cloud experience with at least one major platform such as AWS, Azure, or GCP.

Strong problem solving skills. You use logs, evidence, and root cause analysis to resolve integration, deployment, data, and environment issues.

Client-facing communication skills. You can explain complex technical topics clearly, manage stakeholder expectations, and provide proactive updates on progress, risks, and issues.

An ownership mindset. You can manage an assigned workstream end to end, balance multiple priorities, and escalate architecture or scope changes at the right time.

Practical AI experience. You have used AI tools or LLM APIs to accelerate technical work and understand the importance of validating outputs before integrating them into business processes.

Strong candidates may also have

Hands-on experience with AML, KYC, fraud, sanctions, transaction monitoring, alert management, or other compliance platforms.

Experience with Spark, Snowflake, or another enterprise data platform.

Experience with pipeline orchestration, scheduling, production monitoring, and data quality frameworks.

Exposure to ML model deployment, model endpoints, feature preparation, or monitoring for data drift and model degradation.

Experience with GraphQL, microservices, rule engines, or complex enterprise integrations.

A cloud certification in AWS, Azure, or GCP.

Experience working with global enterprise clients and distributed delivery teams.

Understanding of AI model governance, including explainability, auditability, and data privacy in production environments.

About Us

About SymphonyAI

SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth verticals, including retail, consumer packaged goods, financial services, manufacturing, media, and business IT. SymphonyAI serves many leading enterprises across these verticals. Since its founding in 2017, SymphonyAI has grown rapidly to 2,000 talented leaders, data scientists, and other professionals across 35 countries. SymphonyAI is an SAIGroup company, backed by a $1 billion commitment from Dr. Romesh Wadhwani, a successful entrepreneur and philanthropist.

Visit here, for more information about how we hire, what’s in it for you, our culture, and values.

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More about this job

Responsibilities

The Technical Consultant will lead the implementation, configuration, and deployment of financial crime compliance platforms across SaaS and client environments. They will also develop data pipelines, troubleshoot technical issues, and collaborate with cross-functional teams to ensure successful client delivery.

Requirements

Candidates must have 3 to 7 years of technical implementation experience, including proficiency in SQL, Python, and cloud platforms. Strong problem-solving skills, experience with CI/CD practices, and the ability to communicate complex technical concepts to stakeholders are essential.

Skills

SQL
Python
Linux
Bash
Git
GitHub
CI/CD
YAML
Helm
Kubernetes
REST APIs
SAML
SSO
Cloud Computing
Data Pipelines
Technical Troubleshooting

Visa sponsorship

Not detected in the job text

Keywords

Technical Consultant
SaaS
Financial Crime
Compliance
SQL
Python
Linux
Bash
Git
GitHub
CI/CD
YAML
Helm
Kubernetes
REST APIs
SAML
SSO
AWS
Azure
GCP
Data Pipelines
AI
LLM
RAG
AML
KYC
Transaction Monitoring
Cloud Computing
Root Cause Analysis
Technical Implementation

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