AI Consultant (Automation, Data & Technical)

AiVision Partners

1d•Remote

About The Position

AiVision Partners (aivisionpartners.com) is a premier AI transformation consulting firm specializing in turning AI hype into measurable business results for SMBs and mid-market enterprises. As "AI business process surgeons," we deliver precise, surgical interventions—rather than wholesale overhauls—using our proprietary SCALE methodology (Scan, Create, Activate, Launch, Expand) to achieve rapid ROI, often within 90 days. We are seeking versatile AI consultants with expertise spanning automation workflows, data engineering/infrastructure, and technical AI architecture/implementation. This client-facing role combines strategic advisory with hands-on execution, helping clients identify high-impact opportunities, design scalable solutions, and deploy production-grade AI systems that drive quantifiable efficiency, cost savings, and revenue growth. You'll work remotely, collaborating on multiple engagements across industries such as manufacturing, healthcare, financial services, distribution, and more. If you have deep expertise in one or more areas (automation workflows, AI data infrastructure, or enterprise AI architecture) and can contribute across others, this role offers the opportunity to drive real business transformations at a growing firm focused on practical, high-impact AI.

Requirements

2–5+ years of hands-on experience designing, building, and deploying AI-driven automation, data pipelines, or ML solutions in production
Proficiency in workflow automation tools (like n8n, Make.com, Zapier), API’s like LLM APIs, REST APIs, webhooks, OAuth, JSON/data formats
Strong programming skills in Python/SQL; experience with data/ML libraries such as (like pandas, scikit-learn, PyTorch/TensorFlow, LangChain), frameworks (like Spark, Airflow, dbt), and cloud services (like S3, BigQuery, Snowflake, Databricks)
Expertise in AI architectures (RAG, agents, GenAI), integrations with different solutions systems and MLOps practices
Knowledge of data governance, privacy regulations (like GDPR, CCPA), and ethical AI
2+ years client-facing experience advising on AI/automation strategy, process optimization, or technical solutions
Ability to audit processes, quantify ROI, manage multiple projects independently, and communicate complex ideas to diverse stakeholders
Execution-focused mindset: Deliver practical, measurable results in tight timelines (e.g., 90-day cycles) with minimal supervision
Independent operator with strong problem-solving, documentation, and optimization skills
Strategic yet hands-on: Balance long-term roadmaps with immediate value delivery
Flexible, remote-first collaborator comfortable with weekly team meetings and varying client time zones

Nice To Haves

Experience with marketing/creative agencies, consulting firms, or regulated industries
Familiarity with tools like n8n, Airtable, Notion, ClickUp, process mining, or RPA
Cloud certifications, enterprise system expertise (like SAP S/4HANA, Oracle, etc), or rapid prototyping in 90-day cycles
Background in industries like manufacturing, distribution, chemicals, or finance

Responsibilities

Conduct process audits, AI readiness assessments, and technical discovery to identify inefficiencies and high-ROI automation/AI opportunities
Develop AI integration strategies, roadmaps, and business cases with quantified ROI projections aligned to client goals and KPIs
Advise on optimal AI models, tools, frameworks, data governance, ethical practices, and compliance
Lead workshops, present recommendations to C-suite stakeholders, and guide change management/adoption
Translate technical capabilities into clear business value for non-technical audiences
Design and build automation workflows using platforms like n8n, Make.com, Zapier, or equivalents; integrate LLMs (like GPT, Claude, Gemini, etc) via APIs
Architect and implement data pipelines, vector databases, and RAG systems
Build intelligent agents, multi-agent architectures, chatbots, RPA solutions, and agentic workflows with decision logic, memory, and context routing
Develop production AI/ML solutions, including pipelines, model deployment, fine-tuning, and monitoring
Integrate with systems (like SAP, Workday, etc.; CRMs like HubSpot/Salesforce/Go High Level, Google Workspace), APIs, webhooks, databases, and cloud platforms
Handle data cleaning, structuring, real-time/batch processing, predictive analytics, NLP, computer vision, and GenAI applications
Prototype Proof of Concept rapidly , troubleshoot, optimize for performance/scalability, and document workflows/technical specs
Support deployment across cloud platforms (like AWS, Azure, GCP, Databricks) with infrastructure-as-code where needed