Lead Solutions Architect, AI

Workana

. Architect and deploy end-to-end AI/ML solutions from model design to scalable production environments using modern frameworks .

Posted 10/5/2026contractToronto • CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and deploying AI/ML solutions, with a strong focus on Python, modern frameworks, and technical leadership. Capable of translating complex AI concepts into business value while optimizing production environments and mentoring engineering talent.

Highest-signal resume keywords

Expert Proficiency In PythonAI/ML Solution DeploymentNLP And Transformer ArchitecturesTechnical Leadership And MentorshipExperience In Financial Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Solution DevelopmentPython ProgrammingNLP TechniquesDocument ProcessingData Processing PipelinesETL ProcessesModel OptimizationSystem ArchitectureAlgorithm SelectionTechnical Project Roadmapping

Soft Skills

Cross-Functional CoordinationTechnical InnovationMentorshipCommunicationCollaboration

Tools & Technologies

FastAPIDjangoFlaskPyTorchTensorFlowKerasHuggingFaceLangChainPostgreSQLRAG

Industry Keywords

AI/ML ApplicationsDocument IntelligenceAutomated Decisioning SystemsMulti-Agent SystemsPrompt EngineeringLarge Language Model OptimizationResearch ContributionsPublicationsRegulated IndustriesComplex AI Projects

Tech Stack

Tools & technologies

DjangoETLFlaskKerasPostgresPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Architect and deploy end-to-end AI/ML solutions from model design to scalable production environments using modern frameworks
Lead R&D initiatives in AI/ML applications including document intelligence, text extraction, and automated decisioning systems
Drive technical innovation through experimentation with RAG, multi-agent systems, and transformer architectures
Establish, maintain, and optimize deployment and monitoring pipelines for production AI models
Coordinate cross-functional technical delivery across ML engineers, backend developers, data teams, and business stakeholders
Develop technical project roadmaps, solution designs, load planning, and system optimization strategies
Provide technical leadership and mentorship to junior engineers through code reviews, best practices, and algorithm selection
Partner with business stakeholders to translate complex AI concepts into measurable business value and ROI

Requirements

What you’ll need

10+ years of professional software development or relevant research experience with a strong background in Python
3+ years of hands-on experience building and deploying AI/ML solutions in production environments
Expert proficiency in Python
Solid familiarity with web technologies and frameworks: FastAPI, Django, or Flask
Hands-on experience with PyTorch, TensorFlow, Keras, HuggingFace, and LangChain
Proven technical expertise in NLP, modern transformer architectures, RAG, and multi-agent systems
Solid experience with relational databases, PostgreSQL, data processing pipelines, and ETL processes
Proven track record of architecting full-stack systems, leading complex AI projects, and mentoring engineering talent
Experience in financial services or highly regulated industries
Hands-on experience with advanced document processing, PDF parsing, and text extraction pipelines
Familiarity with prompt engineering and large language model optimization strategies
Publications or research contributions in AI/ML conferences or journals
Available to work in the office 2 to 3 days per week

Benefits

Comp & perks

Compensation in USD
Career growth with international clients and dynamic projects
Long-term independent contractor agreement
No additional benefits