AI Architect

Job Description

Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.

Learn how we are redefining the meaning of work, and be a part of the team raved by Clients, Job-seekers and Employees.

Jobseeker Video Testimonials

Employee Glassdoor Reviews

If you are a AI Architect looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.

Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.

Requirements

Role:AI Architect

Location: Washington, DC

Exp: 8+ Years

Requirements

As an AI Architect, you will be at the forefront of designing Carlyle’s next-generation AI Investment Research Platform. This role demands a strategic thinker with deep technical acumen in machine learning (ML), natural language processing (NLP), large language models (LLMs), and cloud-native architecture. You'll collaborate with cross-functional teams to build scalable, secure, and explainable AI systems that enhance investment research, analysis, and decision-making processes across private equity, credit, infrastructure, and real asset domains.

Key Responsibilities:

Architecture & Strategy

Lead the end-to-end architecture of Carlyle’s AI Investment Research Platform, ensuring alignment with enterprise architecture, data governance, and security standards.

Design modular, reusable components to support various AI-powered use cases including:

Thematic search

Smart summarization

Investment memo generation

Risk analysis

Architect cloud-native AI/ML infrastructure on AWS, leveraging services like:

SageMaker, Bedrock, Lambda, Glue, Redshift

AI & ML Solution Design

Build scalable pipelines to ingest, transform, and enrich structured and unstructured financial data (e.g., SEC filings, transcripts, deal data).

Implement LLM- and NLP-based solutions:

Document classification

Entity recognition

Semantic search

RAG (retrieval-augmented generation)

Integrate and fine-tune LLMs such as GPT, Claude, Cohere, Llama, BloombergGPT.

Collaboration & Leadership

Partner with Data Science, TechOps, Product, and Investment teams to deliver domain-aligned, explainable AI solutions.

Act as a strategic advisor to senior investment professionals and executive stakeholders.

Lead technical architecture reviews and guide buy-in for high-impact design decisions.

MLOps & Scalability

Establish frameworks for ML Ops, covering:

Model versioning

Continuous learning

Monitoring & governance

Guide containerization and orchestration using Docker, Kubernetes, Terraform for scalable multi-environment deployments.

Innovation & Ecosystem Evaluation

Stay ahead of trends by evaluating emerging AI/ML technologies and tools, such as:

Vector databases (FAISS, Pinecone, Weaviate)

Multimodal AI systems

FinLLMs and AI copilots

Identify integration opportunities with ESG, alternative datasets, and internal portfolio company data.

Qualifications:

Required:

10+ years of experience in AI/ML systems architecture or engineering.

Minimum of 3 years leading architecture for enterprise-grade platforms.

Proven domain experience in financial services, asset management, or capital markets.

Deep understanding of NLP and LLMs, including experience with:

PyTorch, TensorFlow, Scikit-learn

LLM orchestration frameworks

Expertise in cloud-native architecture, preferably AWS (SageMaker, Lambda, Glue, etc.).

Proficient with data platforms: Snowflake, SQL, Databricks, Apache Spark.

Experience designing retrieval-based AI assistants or copilots.

Strong understanding of data governance, cybersecurity, and compliance within a regulated financial environment.

Preferred:

Experience at private equity firms, hedge funds, or institutional asset managers.

Familiarity with ESG data, alternative data, portfolio insights.

Hands-on with vector databases and RAG-based systems.

Comfortable presenting complex technical solutions to C-suite or investment committees.

BenefitsVisit us at Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.

CEO Message: Click Here

Clients Testimonial: Click Here

Full-time