Data Scientist

Design and maintain agentic multi-component processes (MCPs) that enable context-aware reasoning across multiple data sources and agents.

Implement AI agents capable of dynamic tool use, autonomous task decomposition, and multi-context knowledge retrieval.

Develop pipelines that support agent memory , self-reflection , and knowledge synthesis across distributed systems and knowledge bases.

Collaborate with engineering teams to integrate MCP-driven agents with retrieval, analytics, and workflow orchestration layers, ensuring compliance with regulatory reasoning frameworks.

2. Data Pipeline Engineering

Build and manage end-to-end data pipelines for ingestion, transformation, embedding, and indexing of legal and compliance data.

Orchestrate data workflows leveraging AWS services (e.g., S3 , Lambda , Glue , SageMaker , Step Functions , RDS ).

Develop scalable ETL/ELT processes to feed both relational ( PostgreSQL ) and vector databases (e.g., Pinecone , FAISS , Weaviate , Elastic Vector Search ).

Ensure data lineage, reproducibility, and version control across AI and analytics pipelines.

Automate retraining and evaluation pipelines for continuous learning from user feedback.

3. Knowledge Base & Information Retrieval

Architect and maintain intelligent Knowledge Bases (KBs) to support AI-driven search, summarization, and compliance reasoning.

Implement advanced retrieval techniques using ElasticSearch / Elastic Vector Search and embedding-based retrieval.

Align KB structures with business ontologies and regulatory taxonomies to support explainable AI outputs.

Collaborate with domain experts and PMs to enrich KB metadata and enhance model context relevance.

4. AWS & Deployment

Deploy and scale AI pipelines using AWS services such as SageMaker , Lambda , ECS/EKS , API Gateway , and CloudFormation/Terraform .

Implement model and data monitoring solutions for drift detection, latency management, and cost optimization.

Collaborate with DevOps to maintain secure, reliable, and compliant cloud environments.

5. Cross-Functional Collaboration

Partner with engineering, product, and compliance teams to align AI models with regulatory and data governance requirements.

Work closely with QA and Professional Services teams to validate AI outputs and improve client-facing performance.

Document architectures, experiment results, and data flows to ensure transparency and reproducibility.

Experience building AI products for LegalTech, RegTech, or compliance automation .

Familiarity with agentic AI frameworks (e.g., OpenAI MCP, CrewAI, LangGraph, or AutoGen).

Background in document intelligence systems , multi-agent orchestration , or knowledge graph integration .

Experience with LangChain , LlamaIndex , or similar frameworks for RAG orchestration.

Hands-on knowledge of MLOps tools and data versioning (DVC, MLflow, Weights & Biases).

Understanding of governance, interpretability , and ethical AI

5+ years of experience in data science, ML engineering, or AI-driven software development .

Strong programming skills in Python (NumPy, Pandas, PyTorch/TensorFlow, LangChain, or equivalent).

Experience with vector databases and retrieval systems (Pinecone, FAISS, Weaviate, Qdrant, or Elastic Vector Search).

Hands-on experience with RAG pipelines , embedding models , and LLM orchestration (OpenAI, Bedrock, Hugging Face, etc.).

Solid understanding of data pipelines , ETL frameworks , and cloud-native deployment on AWS .

Familiarity with Elasticsearch , PostgreSQL , and API integration patterns.

Knowledge of ML lifecycle management , including model training, evaluation, and monitoring.

Scalable and well-documented RAG pipelines supporting production of AI workloads.

High model accuracy, retrievability, and latency efficiency.

Reliable data flow from ingestion to inference with minimal manual intervention.

Increased explainability and compliance assurance across AI outputs.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice at management discretion based on business need.

Archer is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Archer are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, national origin, sex (including pregnancy), age, disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, protected veteran status, genetic information, or any other characteristic protected by federal, state or local laws. Archer will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. All Archer employees are expected to support this policy and contribute to an environment of equal opportunity.

If you need a reasonable accommodation during the application process, please contact talent-acquisition@archerirm.com. All employees must be legally authorized to work in Country they are applying for. Archer and its approved consultants will never ask you for a fee to process or consider your application for a career with Archer. Archer reserves the right to amend or withdraw any job posting at any time, including prior to the advertised closing date.

Pay Transparency Notice: We’re committed to fair and transparent pay practices. In line with state pay transparency laws, for positions in this location, we offer a base pay of $105,200.00 to $150,000.00 USD , plus benefits. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Please contact our Talent Acquisition team at Talent-Acquisition@archerirm.com for the range and related compensation details. Actual pay may vary based on location, experience, skills, and internal equity.