Job Description

About Us:

At MIR Digital, we're more than a company--we're a collective of innovators, builders, and change-makers. We believe in empowering our team members to shape their own success while contributing to meaningful projects that drive business transformation. With a growing network of skilled professionals, we're committed to delivering impactful digital solutions that empower our clients to excel in an ever-evolving world.??

Founded with a mission to redefine the digital landscape, MIR Digital has become a trusted partner for organizations seeking cutting-edge IT and business solutions. Our team thrives on collaboration, expertise, and a shared vision for achieving exceptional results.??

This is your opportunity to join a forward-thinking team and build your career with MIR Digital.??

About the Role:

We are seeking a

Lead Consultant

with deep technical expertise in Azure, Databricks, and GenAI systems to drive cutting-edge transformation across our most critical platforms.

You will shape enterprise AI and cloud strategy, lead high-stakes technical engagements, and build modern, scalable solutions leveraging advanced GenAI, MLOps, and cloud engineering practices. Your ability to influence, build trust, and deliver results will be critical to success in this role.

Key Responsibilities:

AI Model Development & Implementation

Design, develop, and deploy generative AI and machine learning models to solve complex use cases in

financial services

and

capital markets

, including risk modeling, compliance automation, trade intelligence, and customer interaction. Build and maintain prompt generation workflows tailored to financial data, regulatory language, and high-value capital markets scenarios. Deliver scalable, production-grade AI/ML solutions using repeatable, automated pipelines on secure, compliant infrastructure. Integrate AI models with structured financial databases, trading systems, and real-time data pipelines.

System Architecture & Performance Optimization

Lead the design of enterprise-grade AI architectures that meet FSI-specific requirements for security, data lineage, auditability, and performance. Optimize model performance in latency-sensitive environments such as trading desks or client service platforms. Drive model evaluation and selection using risk-aware metrics aligned with regulatory and performance objectives. Implement compliance-ready model validation frameworks including audit checkpoints and explainability layers.

Agentic AI & Workflow Orchestration

Design and orchestrate

agentic pipelines

to support use cases like portfolio analysis, real-time alerts, and automated report generation. Enable

retrieval-augmented generation (RAG)

architectures that dynamically reference financial documents, regulatory filings, or internal investment data. Implement verification loops and alignment techniques to ensure safe and accurate agent outputs.

Research & Innovation

Stay at the forefront of GenAI innovation in capital markets, particularly in areas such as algorithmic trading insights, ESG analysis, and customer 360 modeling. Research and apply NLP techniques to extract structured insights from unstructured financial reports, earnings calls, and filings. Champion the use of GenAI to automate compliance workflows and reduce manual effort across financial operations.

Collaboration & Integration

Partner with product, data, compliance, and engineering teams to align AI solutions with financial goals and regulatory expectations. Work alongside data scientists and platform engineers to refine AI models and embed them in platforms such as CRMs, trading portals, or analytics dashboards. Lead integration of AI capabilities into enterprise platforms like Databricks, Azure ML, and Microsoft PowerApps.

Documentation & Reporting

Document architecture, model lifecycle, and system decisions in a way that supports internal risk, audit, and compliance reviews. Present findings, POCs, and results to business stakeholders, quants, and governance teams with clarity and precision.

Required Skills & Qualifications:

Education

Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or related field. Additional credentials in finance, capital markets, or quantitative disciplines are a plus.

Technical Skills

8+ years of

Databricks

experience and 10+ years on

Azure

, with hands-on delivery in regulated industries. Deep expertise in

Python

,

SQL

, and

data modeling

for structured, time-series, and transactional financial data. Proficient with

OpenAI

,

LangChain

,

LangGraph

, and

RAG

to architect scalable GenAI pipelines. Familiar with

agentic AI frameworks

, autonomous orchestration, and safe AI design. Skilled in system architecture across APIs, databases, and AI services tailored to FSI needs. Strong grasp of

MLOps

practices including model approval workflows, monitoring, and rollback mechanisms.

Industry Experience

Proven track record of building AI solutions in financial services, banking, or capital markets domains. Experience with regulatory constraints, auditability, and explainability requirements in AI systems. Use-case knowledge in areas such as AML/KYC, client onboarding, investment research, regulatory compliance, and trade support.

Preferred Experience

Familiarity with LLMs such as GPT, LLama, Claude, or Gemini in financial services scenarios. Exposure to financial NLP (e.g., earnings calls, 10-Ks), financial graphs, and transaction analysis. Understanding of cloud security models and data governance in FSI environments.

Soft Skills

Excellent verbal and written communication skills, especially when working with non-technical financial stakeholders. Collaborative, proactive, and able to navigate cross-functional teams with finance, risk, and tech stakeholders. Passion for driving innovation in highly regulated, data-sensitive environments.

Why Join Us?

Be part of a dynamic and fast-growing technology company. Work closely with innovative teams delivering cutting-edge software and technology solutions. Competitive pay, benefits, and career growth opportunities in the tech sector.

Apply Now!

Job Type: Fixed term contract
Contract length: 6 months

Pay: $75.00-$85.00 per hour

Expected hours: 40 per week

Flexible language requirement:

French not required
Schedule:

Monday to Friday
Experience:

Integration of AI capabilities into Databricks, Azure ML: 5 years (required)
Work Location: Hybrid remote in Concord, ON L4K 4G7