Job Title: Agentic AI Consultant
Location: 15-20% travel to NYC (all expenses paid)
Duration: Contract to hire or Perm (Both options Open)
US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time
Job Description
Summary
Agentic AI Data Engineer:
- Looking
for a strong Data Engineer who knows AI concepts. Wants more of a
consultant type of person for this. They'll be wearing multiple hats not
just as an order taker data engineer but needs to be creative and help
with the Agentic AI proof of concepts.
- Financial
and asset management experience
- AWS,
API connection Python and SQL
- Ability
to connect to APIs as a Senior Data Engineer
- Experience
with agentic AI, doesn’t need to build it but need to have supported it.
If they know the concept its good enough.
- Very
strong Data Engineer
- Need a
consultant style person. Will drop them into a banking client and work
with data scientists and AI engineers to create AI Proof of concepts.
- Must
understand data pipelines, understand data, be ok with ambiguity, coming
up with ideas, coming up with POCs. Don’t want an order taker.
- Production
level deployment, flexible mindset, can support AI person with
creation.
AI Role
Responsibilities:
- Work
side-by-side with AI/ML Engineers to understand data requirements for
agentic AI workflows, iterating on data schemas and storage strategies.
- Be
able to perform data audits to find inconsistencies, gaps and quality
issues of how data is ingested, transformed, and used.
- Develop
and maintain ETL/ELT pipelines to collect, ingest, and integrate data from
diverse sources (databases, APIs, event streams).
- Implement
automated routines for data validation, cleansing, de-duplication, and
anomaly detection to ensure high-quality inputs for AI models.
- Optimize
data pipelines and storage for performance and cost-efficiency in
large-scale environments (AWS cloud).
- Leverage
tools like Apache Airflow, Prefect, or like schedule, monitor, and manage
data workflows.
- Maintain
clear documentation of data schemas, pipeline architectures, and
operational runbooks; champion data governance and version control.
- Establish
monitoring dashboards and alerts; rapidly diagnose and resolve data
pipeline issues to minimize downtime.
Qualifications:
Technical skills
- 5+
years of experience in data engineering or software development, with a
strong focus on building data pipelines and infrastructure.
- You
demonstrate a good understanding of commercial data reality across one or
more industries.
- Firm
understanding of GenA and MLOps, and an ability to discuss it beyond a
superficial level.
- Experience
building and deploying data pipelines for machine learning models or
AI-driven features in production environments.
- Proficiency
in Python, Java, or other relevant programming languages.
- Hands-on
experience with cloud platforms (AWS) and data management tools like
Airflow, DBT, or Kubernetes.
- Expertise
in relational and NoSQL databases, including MySQL, PostgreSQL, MongoDB,
or Cassandra.
- Experience
with distributed data processing frameworks (Spark, Hadoop) and big data
tools.
- Strong
understanding of data governance, compliance, and security best practices.
- Excellent
problem-solving skills and ability to communicate technical concepts to
non-technical stakeholders.
- Ability
to work as part of a team and independently
- Effective
time management skills to balance deliverables with fast-paced deadlines.
- Good verbal/written communication and presentation skills, with the ability to successfully articulate your work and its intent to your team.
A reasonable, good faith estimate of the minimum and
maximum base salary for this position is $130K to $150K Per Year.
