CrawlJobs Logo
Provectus Logo Provectus · IT - Software Development

Tech Lead / Solutions Architect (Python & GenAI)

B2B · Job Posted June 28, 2026
Apply Position
Job Link Share

Job Description

Provectus is a global AI and cloud consulting company helping enterprises turn artificial intelligence and data into production-ready business solutions. We specialize in designing, building, and scaling end-to-end AI/ML systems, data platforms, and cloud-native architectures, with strong expertise in AWS, MLOps, and enterprise-grade AI delivery. We are an official Anthropic partner, working with cutting-edge foundation models to help organizations safely and effectively adopt advanced AI capabilities. Our consulting teams operate across industries such as finance, healthcare, retail, and technology, delivering solutions with measurable business impact through hands-on engineering and advisory. As a Technical Lead, you will drive the development of GenAI-powered solutions, including AI agents, RAG systems, and Python services. You will provide technical leadership, own solution architecture, mentor engineers, and guide projects from discovery to production.

Job Responsibility

  • Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
  • Implement and optimize RAG systems for production use cases
  • Design and build LLM-based and agentic AI solutions that address real client business challenges
  • Own the technical direction of client engagements from discovery through delivery
  • Support presales: discovery calls, technical proposals, scoping, and client-facing demos
  • Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice
  • Mentor engineers, lead code reviews, and share knowledge across the team
  • Build and maintain strong relationships with key client stakeholders as a trusted technical advisor

Requirements

  • Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure
  • Already using AI tools in your daily workflow (Claude Code, Copilot, or similar)
  • Proactive and self-directed
  • you own outcomes end-to-end and spot problems before they're handed to you
  • B2+ English, comfortable collaborating across distributed, multicultural teams
  • Owns the client technical relationship
  • leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget
  • Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks
  • Experience with cost estimation and cloud architecture cost optimization
  • 7+ years building and running production systems not only demos and POCs
  • Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions
  • Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization
  • Experience building RESTful APIs with FastAPI, Django REST, or Flask
  • Experience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs NoSQL
  • Strong testing practices: pytest, mocking, and integration tests for AI systems
  • Experience with Docker and Kubernetes
  • Hands-on experience building production LLM-based applications and agentic workflows
  • Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)
  • Experience building and optimizing RAG systems
  • Understanding of LLM evaluation techniques and quality assurance approaches
  • Experience deploying and maintaining AI/ML models in production environments
  • Hands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar)
  • GCP considered
  • Experience with React/Vue
  • AWS and Claude Code Certifications

Nice to have

  • Experience with Streamlit or Gradio for AI prototyping
  • Modern Python tooling (ruff, uv, pyproject.toml, pyright)
  • CI/CD pipeline experience (GitHub Actions, GitLab CI)
  • Experience in an additional language (Go, Node.js, or Rust)
  • Front-end experience

What we offer

  • Opportunity to work with cutting-edge AI and cloud solutions
  • Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications
  • Career growth: a clear path toward SA or beyond
  • we actively develop our engineers
  • Access to the latest AI tools and premium subscriptions
  • Long-term B2B collaboration
  • Remote with flexible hours
  • Private medical insurance or a budget for your medical needs
  • Paid sick leave, vacation, and public holidays
  • Equipment and all the tech you need for comfortable, productive work
Provectus - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Tech Lead / Solutions Architect (Python & GenAI)

8 matching positions

Machine Learning Tech Lead, GenAI

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...
Location
Location
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models)
  • Strong expertise in AWS Cloud Services
  • Strong experience in ML/AI, including at least 2 years in a leadership role
  • Hands-on experience with Python, TensorFlow/PyTorch, and model optimization
  • Familiarity with MLOps tools and best practices
  • Excellent problem-solving and decision-making abilities
  • Strong communication skills and the ability to lead cross-functional teams
  • Passion for mentoring and developing engineers
Job Responsibility
Job Responsibility
  • Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment
  • Drive the roadmap for machine learning projects aligned with business goals
  • Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery
  • Design, develop, and fine-tune LLMs and other machine learning models to solve business problems
  • Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction
  • Stay ahead of advancements in LLMs and apply emerging technologies
  • Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML
  • Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.)
  • Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS
  • Ensure best practices in security, monitoring, and compliance within the cloud infrastructure
What we offer
What we offer
  • Long-term B2B collaboration
  • Fully remote setup
  • Comprehensive private medical insurance or budget for your medical needs
  • Paid sick leave, vacation, public holidays
  • Continuous learning support, including unlimited AWS certification sponsorship
Read More
Arrow Right

Tech Lead - GenAI and AgenticAI

NorthBay Solutions, a global AWS Consulting Partner with distributed teams acros...
Location
Location
Pakistan , Lahore
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of professional experience in software engineering, AI/ML and leading technical teams
  • 3+ years of practical experience in LLM-based application development
  • Strong track record of delivering Agentic AI systems (not just chatbot interfaces)
  • Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
  • Hands-on experience with: OpenAI, Claude, Gemini, Mistral, or Llama2
  • Hands-on experience with: Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
  • Hands-on experience with: Prompt engineering, RAG, memory/context management
  • Hands-on experience with: Serverless, Python, Node.js, AWS/GCP/Azure cloud
  • Experience leading engineering teams and working with enterprise clients
  • Excellent communication, documentation, and stakeholder management skills
Job Responsibility
Job Responsibility
  • Lead, design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
  • Architect and implement multi-agent systems for enterprise-grade solutions
  • Integrate AI agents with APIs, databases, internal tools, and external SaaS products
  • Lead and mentor a cross-functional team across global time zones
  • Optimize performance, context retention, tool usage, and cost efficiency
  • Build reusable pipelines and modules to support GenAI use cases at scale
  • Ensure enterprise-grade security, privacy, and compliance standards in deployments
  • Collaborate directly with clients and senior stakeholders
What we offer
What we offer
  • Competitive compensation + long-term career roadmap
  • Fulltime
Read More
Arrow Right

Tech Lead - GenAI and AgenticAI

NorthBay Solutions, a global AWS Consulting Partner with distributed teams acros...
Location
Location
Pakistan , Islamabad
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of professional experience in software engineering, AI/ML and leading technical teams
  • 3+ years of practical experience in LLM-based application development
  • Strong track record of delivering Agentic AI systems
  • Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
  • Hands-on experience with: OpenAI, Claude, Gemini, Mistral, or Llama2
  • Hands-on experience with: Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
  • Hands-on experience with: Prompt engineering, RAG, memory/context management
  • Hands-on experience with: Serverless, Python, Node.js, AWS/GCP/Azure cloud
  • Experience leading engineering teams and working with enterprise clients
  • Excellent communication, documentation, and stakeholder management skills
Job Responsibility
Job Responsibility
  • Lead, design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
  • Architect and implement multi-agent systems for enterprise-grade solutions
  • Integrate AI agents with APIs, databases, internal tools, and external SaaS products
  • Lead and mentor a cross-functional team across global time zones
  • Optimize performance, context retention, tool usage, and cost efficiency
  • Build reusable pipelines and modules to support GenAI use cases at scale
  • Ensure enterprise-grade security, privacy, and compliance standards in deployments
  • Collaborate directly with clients and senior stakeholders
What we offer
What we offer
  • Competitive compensation + long-term career roadmap
  • Fulltime
Read More
Arrow Right

Tech Lead - GenAI and AgenticAI

NorthBay Solutions, a global AWS Consulting Partner with distributed teams acros...
Location
Location
Pakistan , Karachi
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of professional experience in software engineering, AI/ML and leading technical teams
  • 3+ years of practical experience in LLM-based application development
  • Strong track record of delivering Agentic AI systems (not just chatbot interfaces)
  • Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
  • Hands-on experience with: OpenAI, Claude, Gemini, Mistral, or Llama2
  • Hands-on experience with: Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
  • Hands-on experience with: Prompt engineering, RAG, memory/context management
  • Hands-on experience with: Serverless, Python, Node.js, AWS/GCP/Azure cloud
  • Experience leading engineering teams and working with enterprise clients
  • Excellent communication, documentation, and stakeholder management skills
Job Responsibility
Job Responsibility
  • Lead, design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
  • Architect and implement multi-agent systems for enterprise-grade solutions
  • Integrate AI agents with APIs, databases, internal tools, and external SaaS products
  • Lead and mentor a cross-functional team across global time zones
  • Optimize performance, context retention, tool usage, and cost efficiency
  • Build reusable pipelines and modules to support GenAI use cases at scale
  • Ensure enterprise-grade security, privacy, and compliance standards in deployments
  • Collaborate directly with clients and senior stakeholders
What we offer
What we offer
  • Competitive compensation + long-term career roadmap
  • Fulltime
Read More
Arrow Right

ML Tech Lead, GenAI

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...
Location
Location
Salary
Salary:
Not provided
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models)
  • Strong expertise in AWS Cloud Services
  • Strong experience in ML/AI, including at least 2 years in a leadership role
  • Hands-on experience with Python, TensorFlow/PyTorch, and model optimization
  • Familiarity with MLOps tools and best practices
  • Excellent problem-solving and decision-making abilities
  • Strong communication skills and the ability to lead cross-functional teams
  • Passion for mentoring and developing engineers
Job Responsibility
Job Responsibility
  • Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment
  • Drive the roadmap for machine learning projects aligned with business goals
  • Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery
  • Design, develop, and fine-tune LLMs and other machine learning models to solve business problems
  • Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction
  • Stay ahead of advancements in LLMs and apply emerging technologies
  • Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML
  • Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.)
  • Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS
  • Ensure best practices in security, monitoring, and compliance within the cloud infrastructure
Read More
Arrow Right

Machine Learning Tech Lead, GenAI

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...
Location
Location
Salary
Salary:
8000.00 USD / Month
provectus.com Logo
Provectus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models)
  • Strong expertise in AWS Cloud Services
  • Strong experience in ML/AI, including at least 2 years in a leadership role
  • Hands-on experience with Python, TensorFlow/PyTorch, and model optimization
  • Familiarity with MLOps tools and best practices
  • Excellent problem-solving and decision-making abilities
  • Strong communication skills and the ability to lead cross-functional teams
  • Passion for mentoring and developing engineers
Job Responsibility
Job Responsibility
  • Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment
  • Drive the roadmap for machine learning projects aligned with business goals
  • Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery
  • Design, develop, and fine-tune LLMs and other machine learning models to solve business problems
  • Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction
  • Stay ahead of advancements in LLMs and apply emerging technologies
  • Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML
  • Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.)
  • Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS
  • Ensure best practices in security, monitoring, and compliance within the cloud infrastructure
What we offer
What we offer
  • Annual Performance Bonus: 10% of base salary
  • Sign-In Bonus: USD 8,000 — paid in two installments: 50% upon start (USD 4,000) 50% upon completion of trial period (USD 4,000)
Read More
Arrow Right

Tech Lead IA

Tech Lead IA H/F - Basé à Guyancourt (78). En tant que Tech Lead IA, vous serez ...
Location
Location
France , Guyancourt
Salary
Salary:
Not provided
credit-agricole.com Logo
Crédit Agricole
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Expérience bancaire (CA-CIB idéalement)
  • Certifications AWS (Solutions Architect, ML Specialty, GenAI)
  • Certification Kubernetes (CKA)
  • Transformation digitale en environnements régulés
  • Contributions open-source / conférences
Job Responsibility
Job Responsibility
  • Définir et faire évoluer les architectures techniques des projets d'IA
  • Concevoir et documenter les patterns architecturaux réutilisables
  • Piloter les choix technologiques
  • Assurer la cohérence architecturale
  • Intervenir en tant qu'expert technique
  • Développer des composants techniques avancés
  • Piloter techniquement le projet de plateforme mutualisée d'IA
  • Collaborer avec le DataLab et l'IA Factory
  • Renforcer les relations avec les architectes d'entreprise
  • Animer la communauté technique IA
  • Fulltime
Read More
Arrow Right

Associate Architect - Python

As Associate Architect, you will lead the design, development, and evolution of ...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
fissionlabs.com Logo
Fission Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years of Full-stack development experience with strong in backend using Python and any other language like Java, Go, .NET
  • Recent 3+ years in Python
  • Proven ability to lead projects and manage engineering team/s (technically and not as PM)
  • Strong command of AWS services: Lambda, EC2, EKS, API Gateway, Step Functions, DynamoDB, S3, SNS/SQS
  • Experience integrating GenAI APIs (ChatGPT, Gemini)
  • Familiarity with web crawling frameworks (BeautifulSoup, Playwright, Scrapy)
  • Proficiency with Git/GitHub workflows (branching, pull requests, code reviews)
  • Comfortable working independently in a fast-paced startup environment
  • 9+ years of experience in application development with at least 2+ years of development + architecture experience
  • Expertise in multiple programming languages (polyglot engineering)
Job Responsibility
Job Responsibility
  • Define end-to-end architecture for modern applications using multiple programming languages and paradigms
  • Create high-level and low-level design documents, architecture blueprints, and technology roadmaps
  • Evaluate and recommend optimal technologies, frameworks, and patterns aligned with business goals
  • Lead prototyping, POCs, and reference implementations across varied tech stacks
  • Collaborate with cross-functional teams — product, UX, DevOps, QA — to deliver high-performance solutions
  • Provide deep engineering guidance and mentorship to developers across languages and platforms
  • Design and build systems using a combination of languages (e.g., Python, Java, Kotlin, Go, C#, JavaScript/TypeScript)
  • Ensure interoperability and integration of heterogeneous systems and services
  • Promote best practices in coding, modularity, API design, and system composition
  • Ensure application scalability, reliability, and performance through robust architectural patterns
What we offer
What we offer
  • Opportunity to work on impactful technical challenges with global reach
  • Vast opportunities for self-development, including online university access and knowledge sharing opportunities
  • Sponsored Tech Talks & Hackathons to foster innovation and learning
  • Generous benefits packages including health insurance, retirement benefits, flexible work hours, and more
  • Supportive work environment with forums to explore passions beyond work
  • Fulltime
Read More
Arrow Right