diff --git a/litellm/llms/bedrock/batches/handler.py b/litellm/llms/bedrock/batches/handler.py
index 6239973eb7c..fd4c3dc1659 100644
--- a/litellm/llms/bedrock/batches/handler.py
+++ b/litellm/llms/bedrock/batches/handler.py
@@ -10,6 +10,8 @@ from litellm.types.llms.bedrock import AwsAuthParams, AwsSessionTag
 from litellm.types.utils import LiteLLMBatch
 
 if TYPE_CHECKING:
+    from botocore.config import Config
+
     from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
 
 # AWS Bedrock model-invocation-job statuses → OpenAI Batch statuses.
@@ -31,6 +33,12 @@ _BEDROCK_MIJ_STATUS_TO_OPENAI: Final = {
 _CANCEL_IDEMPOTENT_STATUSES: Final = frozenset({"cancelling", "cancelled", "completed", "failed", "expired"})
 
 
+def _sigv4_config() -> "Config":
+    from botocore.config import Config
+
+    return Config(signature_version="v4")
+
+
 def _extract_region_from_bedrock_arn(arn: str) -> str | None:
     """ARN shape: ``arn:aws:bedrock:<region>:<account>:<type>/<id>``"""
     try:
@@ -150,6 +158,7 @@ class BedrockBatchesHandler:
             aws_access_key_id=creds.access_key,
             aws_secret_access_key=creds.secret_key,
             aws_session_token=creds.token,
+            config=_sigv4_config(),
         )
 
         def job_status() -> "LiteLLMBatch":
@@ -309,6 +318,7 @@ class BedrockBatchesHandler:
             aws_access_key_id=creds.access_key,
             aws_secret_access_key=creds.secret_key,
             aws_session_token=creds.token,
+            config=_sigv4_config(),
         )
 
         if logging_obj is not None:
diff --git a/tests/test_litellm/llms/bedrock/batches/test_handler.py b/tests/test_litellm/llms/bedrock/batches/test_handler.py
index 03daafcad72..e69098a460d 100644
--- a/tests/test_litellm/llms/bedrock/batches/test_handler.py
+++ b/tests/test_litellm/llms/bedrock/batches/test_handler.py
@@ -8,10 +8,14 @@ the tests don't hit AWS.
 
 from __future__ import annotations
 
+import json
+from collections.abc import Iterator, Mapping
 from datetime import datetime, timedelta, timezone
+from typing import Final
 from unittest.mock import MagicMock, patch
 
 import pytest
+from botocore.awsrequest import AWSPreparedRequest, AWSResponse
 
 
 from litellm.llms.bedrock.batches.handler import (  # noqa: E402
@@ -570,3 +574,58 @@ def test_cancel_batch_stops_and_polls_the_job_with_the_tagged_session(monkeypatc
     fake_bedrock.stop_model_invocation_job.assert_called_once_with(jobIdentifier=JOB_ARN)
     assert batch.status == "cancelled"
     assert [kwargs["aws_access_key_id"] for kwargs in bedrock_client_kwargs] == ["ASIABATCHCANCELTAGGED"] * 2
+
+
+class _JsonBody:
+    def __init__(self, payload: bytes) -> None:
+        self._payload: Final = payload
+
+    def stream(self) -> Iterator[bytes]:
+        return iter((self._payload,))
+
+
+class _AuthorizationRecorder:
+    def __init__(self, body: Mapping[str, object]) -> None:
+        self._payload: Final = json.dumps(body, default=str).encode()
+        self.authorization_headers: tuple[str, ...] = ()
+
+    def send(self, request: AWSPreparedRequest) -> AWSResponse:
+        raw_authorization: Final = request.headers["Authorization"]
+        authorization: Final = (
+            raw_authorization.decode() if isinstance(raw_authorization, bytes) else str(raw_authorization)
+        )
+        self.authorization_headers = (*self.authorization_headers, authorization)
+        return AWSResponse(request.url, 200, {"content-type": "application/json"}, _JsonBody(self._payload))
+
+
+def test_retrieve_signs_with_deployment_credentials_when_env_bearer_token_is_set(monkeypatch):
+    """A proxy-wide AWS_BEARER_TOKEN_BEDROCK must not override the deployment's own SigV4 credentials."""
+    monkeypatch.setenv("AWS_BEARER_TOKEN_BEDROCK", "env-bearer-token")
+    recorder: Final = _AuthorizationRecorder(_fake_boto3_response())
+
+    with patch("botocore.httpsession.URLLib3Session.send", recorder.send):
+        batch = BedrockBatchesHandler._handle_model_invocation_job_status(
+            batch_id=JOB_ARN,
+            aws_access_key_id="AKIADEPLOYMENTKEY",
+            aws_secret_access_key="deployment-secret",
+        )
+
+    assert batch.status == "completed"
+    assert len(recorder.authorization_headers) == 1
+    assert recorder.authorization_headers[0].startswith("AWS4-HMAC-SHA256 Credential=AKIADEPLOYMENTKEY/")
+
+
+def test_cancel_signs_with_deployment_credentials_when_env_bearer_token_is_set(monkeypatch):
+    monkeypatch.setenv("AWS_BEARER_TOKEN_BEDROCK", "env-bearer-token")
+    recorder: Final = _AuthorizationRecorder(_fake_boto3_response(status="Stopped"))
+
+    with patch("botocore.httpsession.URLLib3Session.send", recorder.send):
+        batch = BedrockBatchesHandler.cancel_batch(
+            batch_id=JOB_ARN,
+            aws_access_key_id="AKIADEPLOYMENTKEY",
+            aws_secret_access_key="deployment-secret",
+        )
+
+    assert batch.status == "cancelled"
+    assert len(recorder.authorization_headers) == 2
+    assert all(h.startswith("AWS4-HMAC-SHA256 Credential=AKIADEPLOYMENTKEY/") for h in recorder.authorization_headers)