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Why this grade This listing scored 30/100, which is an F. It lost the most ground on freshness. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
What You'll Do
- Client-Facing Technical Leadership (50%)
- Serve as the first point of contact for client technical requests and advanced automation needs
- Lead client discovery sessions to identify high-leverage opportunities for AI, LLMs, and agentic workflows
- Design integrated data and AI architectures connecting marketing platforms to data warehouses and LLM services
- Present technical recommendations to client stakeholders, focusing on the ROI of automation and agentic systems
- Troubleshoot integration issues, data discrepancies, and technical blockers across AI stacks
- Build trusted advisor relationships: clients should see you as their go-to expert in AI and Automation
- Solution Design & Implementation (50%)
- Design end-to-end agentic data and workflow architectures: data sources → automation platform / LLM → actions / dashboards
- Implement integrations and automation using tools like n8n, Make, Flowise, AWS Step Functions, custom APIs, and orchestration platforms (Airflow, Prefect, Temporal)
- Design and deploy agentic workflows for automated marketing tasks, data quality checks, and predictive analytics
- Develop and fine-tune LLM applications for data enrichment, content generation, and data segmentation
- Collaborate with data engineering teams on MLOps and automation pipeline development
- Document technical solutions, agent architecture patterns, and best practices for reusable deployment
- Test and validate the accuracy and performance of automation and AI-driven outputs
What We're Looking For
- 5+ years of experience in technical roles focused on software engineering, data integration, or analytics
- Agency, consultancy, or client services background with a strong understanding of client delivery
- Deep hands-on experience with data warehousing platforms such as Snowflake and BigQuery
- Proficiency with ETL / data integration tools including Glue, AirByte, Python, and custom APIs
- Strong SQL skills and experience with data modeling
- Proficiency in Python for scripting, data manipulation, and deploying AI / ML models
- Proven experience working with AI / ML / LLM technologies in a data or workflow automation context
- Client-facing experience including leading discovery sessions, presenting solutions, and managing stakeholder expectations
- Familiarity with cloud platforms (AWS, GCP, or Azure) and their AI / ML services
- Understanding of Generative AI use cases and prompt engineering best practices
- Strong written and verbal communication skills in English
Company Benefits
- Competitive salary and bonuses, including performance-based salary increases.
- Generous paid-time-off policy
- Flexible working hours
- Work remotely
- Continuing education, training, conferences
- Company-sponsored coursework, exams, and certifications
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 05 Jul 2026 Himalayas first sighting
Seen on 1 board over 0 days.